@inproceedings{Auer+ISWC-2012,
  added-at = {2024-11-22T09:37:27.000+0100},
  author = {Auer, S\"{o}ren and B{\"u}hmann, Lorenz and Dirschl, Christian and Erling, Orri and Hausenblas, Michael and Isele, Robert and Lehmann, Jens and Martin, Michael and Mendes, Pablo N. and van Nuffelen, Bert and Stadler, Claus and Tramp, Sebastian and Williams, Hugh},
  bdsk-url-1 = {http://svn.aksw.org/lod2/Paper/ISWC2012-InUse_LOD2-Stack/public.pdf},
  biburl = {https://www.bibsonomy.org/bibtex/26d2efec1b39fdd7dbf86e9c603025dbe/aksw},
  booktitle = {Proceedings of International Semantic Web Conference (ISWC 2012)},
  date-modified = {2012-12-02 12:25:29 +0000},
  interhash = {d0850b880e1f683a04e3f304f54a1469},
  intrahash = {6d2efec1b39fdd7dbf86e9c603025dbe},
  keywords = {2012 ES MOLE analysis auer authoring browsing buehmann dllearner event_ISWC exploration extraction fusing group_aksw interlinking lehmann lod2page manual martin quality querying revision search stadler storage tramp},
  note = {22\% acceptance rate},
  owner = {soeren},
  timestamp = {2024-11-22T09:37:27.000+0100},
  title = {Managing the life-cycle of Linked Data with the {LOD2} Stack},
  url = {http://iswc2012.semanticweb.org/sites/default/files/76500001.pdf},
  year = 2012
}

@article{omkar_rajaram_gosavi_2024_13734593,
  abstract = {Achyranthes aspera, commonly known as "Prickly Chaff Flower," is a medicinal plant extensively used in traditional medicine systems worldwide. This review provides a comprehensive overview of the phytochemical constituents, pharmacological properties, and therapeutic potential of Achyranthes aspera. The phytochemical analysis reveals the presence of various bioactive compounds such as alkaloids, flavonoids, saponins, and terpenoids, among others, which contribute to its medicinal properties. Pharmacological studies have demonstrated the diverse therapeutic effects of Achyranthes aspera, including anti-inflammatory, analgesic, antioxidant, antimicrobial, antidiabetic, hepatoprotective, and anticancer activities. Furthermore, the plant has been utilized in the management of various ailments such as arthritis, diabetes, respiratory disorders, gastrointestinal disorders, and skin diseases. However, despite its promising therapeutic potential, further research is warranted to elucidate the underlying mechanisms of action and evaluate its safety and efficacy for clinical applications. This review aims to consolidate the existing knowledge on Achyranthes aspera, providing insights for future research and potential development of novel therapeutic agents.},
  added-at = {2024-10-10T16:24:35.000+0200},
  author = {Gosavi, Omkar Rajaram and Nipurte, Disha Shivaji and Patel, Sahil Sikandar and Manchare, Babasaheb Radhu},
  biburl = {https://www.bibsonomy.org/bibtex/2efbcadb86bc1d319d051bb1b4c4129bc/wjbphsjournal},
  doi = {10.30574/wjbphs.2024.18.2.0230},
  interhash = {9ba557a8ddeb9e14b312ad45e154ab40},
  intrahash = {efbcadb86bc1d319d051bb1b4c4129bc},
  issn = {2582-5542},
  journal = {{World Journal of Biology Pharmacy and Health                    Sciences}},
  keywords = {Phytochemical analysis},
  month = sep,
  number = 2,
  pages = {239–245},
  timestamp = {2024-10-10T16:24:35.000+0200},
  title = {Exploring the therapeutic potential of achyranthes aspera: A comprehensive review},
  url = {https://wjbphs.com/content/exploring-therapeutic-potential-achyranthes-aspera-comprehensive-review},
  volume = 18,
  year = 2024
}

@article{victor_ibukun_adebayo_2024_13639444,
  abstract = {This paper explores the evolving role of data analysis and reporting in modern procurement practices, emphasizing their transformative impact on decision-making and supplier management. Historically rooted in manual processes, procurement has transitioned to data-driven methodologies propelled by technological advancements. Key aspects include data collection from diverse sources, integration into centralized systems, and application of analytical techniques such as predictive analytics and descriptive analytics. These methodologies enable procurement professionals to gain insights into spending patterns, forecast demand accurately, optimize procurement strategies, and enhance supplier relationships. The importance of real-time reporting in procurement decision-making is highlighted, enabling timely adjustments based on up-to-date insights into market conditions, supplier performance, and operational metrics. Decision Support Systems (DSS) further empower procurement managers by synthesizing complex data sets, facilitating scenario analysis, and recommending optimal cost reduction and risk mitigation strategies. Supplier management benefits significantly from data-driven approaches, with criteria like quality performance, delivery metrics, and cost competitiveness being rigorously evaluated through data analysis. Risk management strategies leverage data to anticipate and mitigate supplier-related risks, ensuring continuity and resilience in supply chain operations. The implications for the future of procurement underscore the continued evolution towards predictive supply chain analytics, blockchain technology for transparency, AI-driven automation, sustainability initiatives, and enhanced supplier collaboration platforms. These advancements will further optimize procurement processes, strengthen strategic partnerships, and drive sustainable business practices in an increasingly competitive global market.},
  added-at = {2024-09-27T05:52:56.000+0200},
  author = {Adebayo, Victor Ibukun and Paul, Patience Okpeke and Eyo-Udo, Nsisong Louis},
  biburl = {https://www.bibsonomy.org/bibtex/21e63ae1f5c714db6a2f9a78d91a8772f/gscarrjournal},
  doi = {10.30574/gscarr.2024.20.1.0246},
  interhash = {39766ff8f9b2de8b520a53d8dfbdba43},
  intrahash = {1e63ae1f5c714db6a2f9a78d91a8772f},
  issn = {2582-4597},
  journal = {GSC Biological and Pharmaceutical Sciences},
  keywords = {Analysis Data},
  month = sep,
  number = 1,
  pages = {088–097},
  timestamp = {2024-09-27T05:52:56.000+0200},
  title = {The role of data analysis and reporting in modern procurement: Enhancing decision-making and supplier management},
  url = {https://gsconlinepress.com/journals/gscarr/content/role-data-analysis-and-reporting-modern-procurement-enhancing-decision-making-and-supplier},
  volume = 20,
  year = 2024
}

@article{chinelo_k_ezejiegu_2024_13465482,
  abstract = {In line with research efforts towards malaria control and eradication, this study was proposed to provide a bibliometric summary of research output on ACT resistance/ therapeutic efficacy. 
Keywords related to ACT efficacy were used to retrieve literature using the PUBMED and SCOPUS databases. 
In total we obtained 7082 and 3031 journal articles were retrieved from the databases respectively. The number of publications on SCOPUS was within the same range of 310-370 except for 2023 which recorded only 207 publications, while for PUBMED, publications showed a noticeable increase between 2006 and 2015. The malaria journal was well represented in both databases with 195, 2.7% appearance in PUBMED and 588, 19.4% in SCOPUS. Although it was the most productive journal in SCOPUS, in PUBMED we had BMC medicine (333, 4.7%). Publications in SCOPUS recorded an average yearly citation of 13.8, further individual analysis showed that 533, 7.5% of publications were cited eleven to twenty times, followed closely by 525,7.4% of the publications with six to 10 citations. Analysis of Author contribution showed majority of publications in the authorship of 6 and above. },
  added-at = {2024-09-25T09:55:45.000+0200},
  author = {Ezejiegu, Chinelo K. and Oli, Angus N. and Ogwaluonye, Uchenna C. and Chukwunwejim, Chidimma R. and Esimone, Charles O.},
  biburl = {https://www.bibsonomy.org/bibtex/25e92cad0808cfe6b5c3bb824c84e8030/gscarrjournal},
  doi = {10.30574/gscarr.2024.19.1.0127},
  interhash = {db12b4eb9d0df2c3ab78a651d7c4f4d4},
  intrahash = {5e92cad0808cfe6b5c3bb824c84e8030},
  issn = {2582-4597},
  journal = {GSC Advanced Research and Reviews},
  keywords = {Bibliometric analysis},
  month = aug,
  number = 1,
  pages = {016–025},
  timestamp = {2024-09-25T09:55:45.000+0200},
  title = {Bibliometric analysis of artemisinin combination therapy efficacy publications on SCOPUS and PUBMED databases},
  url = {https://gsconlinepress.com/journals/gscarr/content/bibliometric-analysis-artemisinin-combination-therapy-efficacy-publications-scopus-and},
  volume = 19,
  year = 2024
}

@article{journals/mlq/Bell76a,
  abstract = {This article explores Indias multifaceted role in the reconstruction of Afghanistan, delving into the political, economic, and social dimensions of its involvement. Since the fall of the Taliban regime in 2001, India has emerged as a pivotal player in Afghanistan’s reconstruction, contributing over 3 billion in development assistance. This comprehensive analysis examines Indias strategic interests in Afghanistan, the nature of its aid programs, and the impact of its projects on Afghan society. Key initiatives, such as the construction of the Afghan Parliament building, the Salma Dam, and the development of educational and healthcare infrastructure, are highlighted to showcase Indias commitment to fostering stability and growth in the region. The article also assesses the challenges faced by India, including security threats, regional rivalries, and political instability in Afghanistan. Through a thorough review of existing literature, policy documents, and field reports, this study aims to provide an in depth understanding of how Indias efforts have shaped the reconstruction landscape in Afghanistan and the broader implications for regional geopolitics. The findings underscore the importance of sustained international cooperation and the need for adaptive strategies to ensure long term peace and development in Afghanistan. Dr. Vishnu Prakash Mangu "India's Role in Afghanistan's Reconstruction: A Comprehensive Analysis" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-8 | Issue-4 , August 2024, URL: https://www.ijtsrd.com/papers/ijtsrd67145.pdf Paper Url: https://www.ijtsrd.com/humanities-and-the-arts/political-science/67145/indias-role-in-afghanistans-reconstruction-a-comprehensive-analysis/dr-vishnu-prakash-mangu
},
  added-at = {2024-09-09T11:52:15.000+0200},
  author = {Mangu, Dr. Vishnu Prakash},
  biburl = {https://www.bibsonomy.org/bibtex/2664265b0c54e2027b6c433e8dc19482f/ijtsrd},
  ee = {http://dx.doi.org/10.1002/malq.19760220141},
  interhash = {1db19bd76f26b7f4a03696c0532d98f2},
  intrahash = {664265b0c54e2027b6c433e8dc19482f},
  issn = {2456-6470},
  journal = {INTERNATIONAL JOURNAL OF TREND IN SCIENTIFIC RESEARCH AND DEVELOPMENT},
  keywords = {Afghanistan, India, analysis assistance, challenges, cooperation, development geopolitical infrastructure international policy projects, reconstruction, regional security stability, strategy,},
  language = {english},
  month = aug,
  number = 4,
  pages = {325-333},
  timestamp = {2024-09-09T11:52:15.000+0200},
  title = {Indias Role in Afghanistans Reconstruction A Comprehensive Analysis
},
  url = {https://www.ijtsrd.com/humanities-and-the-arts/political-science/67145/indias-role-in-afghanistans-reconstruction-a-comprehensive-analysis/dr-vishnu-prakash-mangu},
  volume = 8,
  year = 2024
}

@misc{matter2024closehumanlevelagreementtracing,
  added-at = {2024-09-07T23:24:44.000+0200},
  archiveprefix = {arXiv},
  author = {Matter, Daniel and Schirmer, Miriam and Grinberg, Nir and Pfeffer, Jürgen},
  biburl = {https://www.bibsonomy.org/bibtex/22cccc1207e503f90008c0ef4de9ad9a8/pfcdgayo},
  description = {[2401.02001] Close to Human-Level Agreement: Tracing Journeys of Violent Speech in Incel Posts with GPT-4-Enhanced Annotations},
  eprint = {2401.02001},
  interhash = {ff34403497ed53da3f6820f89854d811},
  intrahash = {2cccc1207e503f90008c0ef4de9ad9a8},
  keywords = {GPT analysis social-media violence},
  primaryclass = {cs.SI},
  timestamp = {2024-09-07T23:24:44.000+0200},
  title = {Close to Human-Level Agreement: Tracing Journeys of Violent Speech in Incel Posts with GPT-4-Enhanced Annotations},
  url = {https://arxiv.org/abs/2401.02001},
  year = 2024
}

@misc{gorrell2020localmediageosituatedresponses,
  added-at = {2024-09-07T23:23:25.000+0200},
  archiveprefix = {arXiv},
  author = {Gorrell, Genevieve and Bakir, Mehmet E. and Temple, Luke and Maynard, Diana and Cifariello, Paolo and Harrison, Jackie and Kanai, J. Miguel and Bontcheva, Kalina},
  biburl = {https://www.bibsonomy.org/bibtex/263d7fc91dae44d3a99bc8a4e544653e0/pfcdgayo},
  description = {[1902.06521] Local Media and Geo-situated Responses to Brexit: A Quantitative Analysis of Twitter, News and Survey Data},
  eprint = {1902.06521},
  interhash = {fae179f5f64af00c63c85c99dd4d8ee0},
  intrahash = {63d7fc91dae44d3a99bc8a4e544653e0},
  keywords = {analysis twitter},
  primaryclass = {cs.CY},
  timestamp = {2024-09-07T23:23:25.000+0200},
  title = {Local Media and Geo-situated Responses to Brexit: A Quantitative Analysis of Twitter, News and Survey Data},
  url = {https://arxiv.org/abs/1902.06521},
  year = 2020
}

@article{Anastasiadou_2024,
  added-at = {2024-09-07T23:09:35.000+0200},
  author = {Anastasiadou, Athina and Volgin, Artem and Leasure, Douglas R.},
  biburl = {https://www.bibsonomy.org/bibtex/21ba450853f0b18fe57a3c813c2b7510e/pfcdgayo},
  description = {War and mobility: Using Yandex web searches to characterize intentions to leave Russia after its invasion of Ukraine (Volume 50 - Article 8 | Pages 205–220) - Demographic Research},
  doi = {10.4054/demres.2024.50.8},
  interhash = {3449cb40ad028ffac03edcae80ccbea2},
  intrahash = {1ba450853f0b18fe57a3c813c2b7510e},
  issn = {1435-9871},
  journal = {Demographic Research},
  keywords = {analysis search-engine},
  month = feb,
  pages = {205–220},
  publisher = {Max Planck Institute for Demographic Research},
  timestamp = {2024-09-07T23:09:35.000+0200},
  title = {War and mobility: Using Yandex web searches to characterize intentions to leave Russia after its invasion of Ukraine},
  url = {http://dx.doi.org/10.4054/DemRes.2024.50.8},
  volume = 50,
  year = 2024
}

@article{journals/mlq/Bell76a,
  abstract = {The United States has been actively researching Western medicine and disease prevention. Influenza is a
common viral infection that it is widely known can be fatal. Nonetheless, complacency has become
common. Not all workplaces and community training centers outside medical facilities properly train
employees on the hazards associated with contracting influenza. However, standard training procedures
and a wide variety of resources are used to disseminate awareness of seasonal influenza (flu). The United
States Centers for Disease Control (CDC) publish morbidity and mortality rates and alert the public to any
pandemics. Its estimates of influenza cases are delivered in three age categories: <19 years, 19–64 years,
and ≥65 years (CDC, 2010). This study aims to incorporate prevention methods that have not been used to
help protect American workers.
},
  added-at = {2024-08-14T14:20:05.000+0200},
  author = {McAndrew, Tyler D. Asher;Ian R.},
  biburl = {https://www.bibsonomy.org/bibtex/2ef3dbcde53790befdc58ef667a45e3b6/jeffrenna},
  ee = {http://dx.doi.org/10.1002/malq.19760220141},
  interhash = {a004179cf90ae0cfb31e5fa395909f77},
  intrahash = {ef3dbcde53790befdc58ef667a45e3b6},
  issn = {ISSN : 2319 - 2046 (Online); 2319 - 3190 (Print)},
  journal = {Health Informatics: An International Journal (HIIJ)},
  keywords = {analysis informatics},
  language = {English},
  month = {August},
  number = 4,
  pages = 6,
  timestamp = {2024-09-30T06:56:02.000+0200},
  title = {INFLUENZA AWARENESS IN THE WORKPLACE},
  url = {https://aircconline.com/hiij/V9N4/9420hiij03.pdf},
  volume = 9,
  year = 2024
}

@article{hasan2024sentiment,
  abstract = {In the context of Bangladesh, the E commerce sector is experiencing continuous growth, particularly during the global crisis. Amidst the plethora of available platforms, Daraz has emerged as the most successful marketplace, offering users a wide array of shopping options. However, the abundance of reviews and comments on this online platform presents a challenge for consumers trying to make optimal choices. This research focuses on systematically categorizing positive and negative reviews to enhance user decision making. To achieve this objective, a range of classifiers, including Multinomial Naive Bayes, Logistic Regression, Decision Tree Classifier, Random Forest Classifier, K Neighbors Classifier, and Support Vector Machine with different kernels, were employed. The dataset underwent thorough cleaning, followed by the application of Term Frequency Inverse Document Frequency TF IDF with Principal Component Analysis PCA to enhance feature representation. The findings of this study indicate that the Multinomial Naive Bayes classifier, especially when utilizing Bigram and Trigram features, outperformed other classifiers, demonstrating superior accuracy. The implementation of this classifier holds significant promise for assisting businesses operating on various platforms, enabling them to distinguish between positive and negative reviews effectively. Consequently, this approach empowers businesses to furnish customers with valuable insights into the quality of products, contributing to a more informed and confident consumer base. Mohammad Kasedullah | Nakib Aman | Md. Mehedi Hasan "Sentiment Analysis of Bangladeshi E-Commerce Site Reviews Using Machine Learning Approaches" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-8 | Issue-3 , June 2024, URL: https://www.ijtsrd.com/papers/ijtsrd64875.pdf Paper Url: https://www.ijtsrd.com/engineering/computer-engineering/64875/sentiment-analysis-of-bangladeshi-ecommerce-site-reviews-using-machine-learning-approaches/mohammad-kasedullah
},
  added-at = {2024-08-09T10:42:13.000+0200},
  author = {Hasan, Mohammad Kasedullah | Nakib Aman | Md. Mehedi},
  biburl = {https://www.bibsonomy.org/bibtex/2a23cbef85d0c4a15a092d8a90f0e00ef/ijtsrd},
  interhash = {d9b2018040fef630a177457a93fdb16f},
  intrahash = {a23cbef85d0c4a15a092d8a90f0e00ef},
  issn = {2456-6470},
  journal = {INTERNATIONAL JOURNAL OF TREND IN SCIENTIFIC RESEARCH AND DEVELOPMENT},
  keywords = {(PCA), (TF-IDF), Analysis Analysis, Bayes, Classifier, Cleaning, Component Daraz, Data Decision Decision-Making Document E-commerce, Forest Frequency Frequency-Inverse K Logistic Machine, Multinomial Naive Neighbors Principal Product Quality, Random Regression, Reviews, Sentiment Support Term Tree User Vector},
  language = {english},
  month = jun,
  number = 3,
  pages = {442-448},
  timestamp = {2024-08-09T10:42:13.000+0200},
  title = {Sentiment Analysis of Bangladeshi E Commerce Site Reviews Using Machine Learning Approaches
},
  url = {https://www.ijtsrd.com/engineering/computer-engineering/64875/sentiment-analysis-of-bangladeshi-ecommerce-site-reviews-using-machine-learning-approaches/mohammad-kasedullah},
  volume = 8,
  year = 2024
}

@article{shekhar2024experimental,
  abstract = {Blood gas studies are concerned with repatriation of the exchange gases between the lungs and blood and between blood and tissues. The term blood gas strictly refers to the measurement of the tension or partial pressure of oxygen, CO2 and the estimation of H ion concentration or PH is an integral part of blood gas measurement. performed routinely in hospital inpatient floors and in intensive care units, pulmonary clinics, emergency departments, surgical suites, and pulmonary function laboratories throughout the world3. The measurement of arterial blood gases ABG has assumed an increasingly important role in the process of clinical evaluation, and has been widely used during the past three decades4. Title of the study was “A pre experimental study to assess the effect of structured teaching programme on knowledge regarding ABG analysis among staff nurses at selected hospitals of Bhilai C.G . Objectives of the study was to To assess the level of knowledge regarding ABG analysis among staff nurses before intervention. To evaluate the effect of structured teaching programme on knowledge regarding ABG analysis among staff nurses. To associate the pre test knowledge score regarding ABG analysis among staff nurses with their selected socio demographic variables. Methodology adopted for the study was quantitative research approach with a pre experimental one group pretest and posttest was adopted. In this study, the sample consists of 60 staff nurses who fulfilled the inclusion criteria for the study. The convenience sampling technique was used for this study. Data collection tools consist of 2 parts they are section A It will be used to assess the demographic data such Age, gender, area of residence, religion, year of experience, educational qualification, previous knowledge, and source of information. section B Administered self structured questionnaire to assess the existing knowledge of staff nurses regarding ABG analysis. Validity of the tool was established with experts. For the main study A formal written permission was obtained from the authorities to conduct the study. Final data collection was done from Apollo Hospital Nehru Nagar Bhilai C.G . The investigator first introduced himself to the respondent and explained the purpose of gathering information. convenient sampling technique was used for data collection. On first day half of the subjects were selected to assess the knowledge regarding ABG analysis was assessed.On other day, remaining samples were selected to assess the knowledge regarding ABG analysis. The collected data was tabulated according to various parameters and the complete analysis was done with descriptive and inferential statistics. The study concluded that shows the comparison of overall pretest and posttest of knowledge score.The posttest knowledge mean score 2.8 , SD 2.0 is higher than the pretest knowledge mean score is 3.5 , SD 0.7 and t value = 7.5 obtained, which is highly significant at P=0.05 so the null hypothesis H0 is rejected and alternative hypothesis H1 is accepted. The effectiveness of the structured teaching programme. In pre test mean percentage knowledge score were 65.2 , and after providing structured teaching programme the post test mean percentage knowledge score were 78.1 . Considering knowledge, staff nurses were gained 12.9 of more knowledge than pre test. Hence the difference between of the pre test and post test in overall percentage of knowledge gain was 12.9 .hence STP was effective to improve the knowledge of staff nurses regarding ABG. Habeeb Khan | Arvind Kumar Shekhar "A Pre-Experimental Study to Assess the Effect of Structured Teaching Programme on Knowledge Regarding ABG Analysis among Staff Nurses at Selected Hospitals of Bhilai (C.G)" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-8 | Issue-3 , June 2024, URL: https://www.ijtsrd.com/papers/ijtsrd64869.pdf Paper Url: https://www.ijtsrd.com/medicine/nursing/64869/a-preexperimental-study-to-assess-the-effect-of-structured-teaching-programme-on-knowledge-regarding-abg-analysis-among-staff-nurses-at-selected-hospitals-of-bhilai-cg/habeeb-khan
},
  added-at = {2024-08-08T09:16:29.000+0200},
  author = {Shekhar, Habeeb Khan | Arvind Kumar},
  biburl = {https://www.bibsonomy.org/bibtex/2fdc16fb00646289e7e385b6b7c5633f2/ijtsrd},
  interhash = {cb3e8d4895c672f1da8032987d6bb61f},
  intrahash = {fdc16fb00646289e7e385b6b7c5633f2},
  issn = {2456-6470},
  journal = {INTERNATIONAL JOURNAL OF TREND IN SCIENTIFIC RESEARCH AND DEVELOPMENT},
  keywords = {ABG Analysis Experimental Pre Staff Study, in},
  language = {english},
  month = jun,
  number = 3,
  pages = {284-288},
  timestamp = {2024-08-08T09:16:29.000+0200},
  title = {A Pre Experimental Study to Assess the Effect of Structured Teaching Programme on Knowledge Regarding ABG Analysis among Staff Nurses at Selected Hospitals of Bhilai C.G
},
  url = {https://www.ijtsrd.com/medicine/nursing/64869/a-preexperimental-study-to-assess-the-effect-of-structured-teaching-programme-on-knowledge-regarding-abg-analysis-among-staff-nurses-at-selected-hospitals-of-bhilai-cg/habeeb-khan},
  volume = 8,
  year = 2024
}

@article{sumiran2024opinion,
  abstract = {This paper presents a robust methodology for sentiment analysis of comments leveraging advanced techniques such as Bag of Words BoW , K Nearest Neighbors K NN , Support Vector Machine SVM , and Discriminant Analysis. Sentiment analysis plays a crucial role in understanding user opinions, attitudes, and emotions expressed in textual data. By employing BoVW, we extract discriminative features from comments, capturing both semantic and visual cues. These features are then utilized in conjunction with machine learning algorithms including K NN, SVM, and Discriminant Analysis to classify sentiments accurately. The proposed approach offers a comprehensive framework for sentiment classification, achieving high accuracy and reliability across diverse datasets. Experimental results demonstrate the effectiveness and scalability of the proposed methodology, showcasing its potential for real world applications in sentiment analysis of comments across various domains. Rahul Sagar | Sumit Dalal | Sumiran "Opinion Text Analysis Using Artificial Intelligence" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-8 | Issue-3 , June 2024, URL: https://www.ijtsrd.com/papers/ijtsrd64847.pdf Paper Url: https://www.ijtsrd.com/computer-science/artificial-intelligence/64847/opinion-text-analysis-using-artificial-intelligence/rahul-sagar
},
  added-at = {2024-08-08T08:47:08.000+0200},
  author = {Sumiran, Rahul Sagar | Sumit Dalal |},
  biburl = {https://www.bibsonomy.org/bibtex/2934ad4d5459670059204a31a0aa7213b/ijtsrd},
  interhash = {5e14605a79d19e39f923370d36249a38},
  intrahash = {934ad4d5459670059204a31a0aa7213b},
  issn = {2456-6470},
  journal = {INTERNATIONAL JOURNAL OF TREND IN SCIENTIFIC RESEARCH AND DEVELOPMENT},
  keywords = {Analysis Analysis, BOW, Discriminant K-NN, Opinion SVM,},
  language = {english},
  month = jun,
  number = 3,
  pages = {168-174},
  timestamp = {2024-08-08T08:47:08.000+0200},
  title = {Opinion Text Analysis Using Artificial Intelligence
},
  url = {https://www.ijtsrd.com/computer-science/artificial-intelligence/64847/opinion-text-analysis-using-artificial-intelligence/rahul-sagar},
  volume = 8,
  year = 2024
}

@inproceedings{hanika2024repository,
  abstract = {Data is always at the center of the theoretical development and investigation of the applicability of formal concept analysis. It is therefore not surprising that a large number of data sets are repeatedly used in scholarly articles and software tools, acting as de facto standard data sets. However, the distribution of the data sets poses a problem for the sustainable development of the research field. There is a lack of a central location that provides and describes FCA data sets and links them to already known analysis results. This article analyses the current state of the dissemination of FCA data sets, presents the requirements for a central FCA repository, and highlights the challenges for this.},
  added-at = {2024-08-07T16:41:06.000+0200},
  address = {Cham},
  author = {Hanika, Tom and Jäschke, Robert},
  biburl = {https://www.bibsonomy.org/bibtex/20d5c2a7abd85de8aa325c739277bfa34/jaeschke},
  booktitle = {Conceptual Knowledge Structures},
  description = {A Repository for Formal Contexts | SpringerLink},
  doi = {10.1007/978-3-031-67868-4_13},
  editor = {Cabrera, Inma P. and Ferré, Sébastien and Obiedkov, Sergei},
  interhash = {a0e0a088deeffb98b9fc52780d8caa11},
  intrahash = {0d5c2a7abd85de8aa325c739277bfa34},
  isbn = {978-3-031-67868-4},
  keywords = {2024 analysis concept data dataset fca formal myown repository research},
  number = 14914,
  pages = {182--197},
  publisher = {Springer Nature Switzerland},
  series = {Lecture Notes in Artificial Intelligence},
  timestamp = {2024-08-07T16:44:05.000+0200},
  title = {A Repository for Formal Contexts},
  year = 2024
}

@proceedings{cabrera2024conceptual,
  added-at = {2024-08-07T16:38:05.000+0200},
  address = {Cham},
  biburl = {https://www.bibsonomy.org/bibtex/2374d1014dc751280f67de846e42704f4/jaeschke},
  doi = {10.1007/978-3-031-67868-4},
  editor = {Cabrera, Inma P. and Ferré, Sébastien and Obiedkov, Sergei},
  eventtitle = {First International Joint Conference, CONCEPTS},
  interhash = {0e1233ad11dd7403c6f8ee28e6c5b9cf},
  intrahash = {374d1014dc751280f67de846e42704f4},
  isbn = {978-3-031-67867-7},
  keywords = {analysis cla concept concepts conference fca formal iccs icfca knowledge proceedings},
  publisher = {Springer},
  series = {Lecture Notes in Artificial Intelligence},
  timestamp = {2024-08-07T16:38:05.000+0200},
  title = {Conceptual Knowledge Structures},
  volume = 14914,
  year = 2024
}

@article{tan2024spacec,
  added-at = {2024-07-28T17:04:00.000+0200},
  author = {Tan, Yuqi and Kempchen, Tim N and Becker, Martin and Haist, Maximilian and Feyaerts, Dorien and Xiao, Yang and Su, Graham and Rech, Andrew J and Fan, Rong and Hickey, John W and others},
  biburl = {https://www.bibsonomy.org/bibtex/297c525e74ab287560ced5cae5f0ae740/becker},
  interhash = {70c56cfe0ef593d64441c65df43eaf60},
  intrahash = {97c525e74ab287560ced5cae5f0ae740},
  journal = {bioRxiv (under review)},
  keywords = {analysis cell image imaging library myown pipeline python single spacec},
  pages = {2024--06},
  publisher = {Cold Spring Harbor Laboratory},
  timestamp = {2024-07-28T17:10:15.000+0200},
  title = {SPACEc: A Streamlined, Interactive Python Workflow for Multiplexed Image Processing and Analysis},
  year = 2024
}

@article{krenzer1937preisunterbietung,
  abstract = {from memory loss, AD leads to speech disorders. Timely diagnosis is crucial to halt the progression of the
disease. However, current diagnostic procedures are costly, invasive, and distressing. Early-stage AD
manifests itself in speech disorders, which implies examining those. Machine Learning (ML) represents a
promising instrument in this context.},
  added-at = {2024-07-26T11:15:22.000+0200},
  author = {Gewald, Fabian Thaler;Heiko},
  biburl = {https://www.bibsonomy.org/bibtex/2524feb3cac1fe7a54b50f1ac643c54aa/jeffrenna},
  dnbtitleid = {571427227},
  interhash = {14d15a7c9922c20a7c4e846dc2ed592a},
  intrahash = {524feb3cac1fe7a54b50f1ac643c54aa},
  issn = {ISSN : 2319 - 2046 (Online); 2319 - 3190 (Print)},
  journal = {Health Informatics: An International Journal (HIIJ)},
  keywords = {analysis informatics learning},
  month = {July},
  number = 1,
  pages = {1-19},
  school = {NA Köln},
  timestamp = {2024-09-30T06:56:02.000+0200},
  title = {LANGUAGE CHARACTERISTICS SUPPORTING EARLY ALZHEIMER'S DIAGNOSIS THROUGH MACHINE LEARNING – A LITERATURE REVIEW},
  url = {https://aircconline.com/hiij/V10N1/10121hiij02.pdf},
  volume = 10,
  year = 2024
}

@article{frachetti2023dahliagram,
  added-at = {2024-07-24T12:26:04.000+0200},
  author = {Frachetti, Michael and Di Cosmo, Nicola and Esper, Jan and Khalidi, Lamya and Mauelshagen, Franz and Oppenheimer, Clive and Rohland, Eleonora and Büntgen, Ulf},
  biburl = {https://www.bibsonomy.org/bibtex/2b2861da9e83d33a481c9f5e61f7a57f0/bibsonomolli},
  doi = {10.1126/sciadv.adj3142},
  interhash = {727accd10adc986ef03b02869401878f},
  intrahash = {b2861da9e83d33a481c9f5e61f7a57f0},
  issn = {2375-2548},
  journal = {Science Advances},
  keywords = {analysis methods},
  number = 47,
  publisher = {American Association for the Advancement of Science (AAAS)},
  timestamp = {2024-07-24T12:26:04.000+0200},
  title = {The dahliagram: an interdisciplinary tool for investigation, visualization, and communication of past human-environmental interaction},
  url = {http://dx.doi.org/10.1126/sciadv.adj3142},
  volume = 9,
  year = 2023
}

@article{hussey2007design,
  added-at = {2024-06-26T16:05:49.000+0200},
  author = {Hussey, Michael A and Hughes, James P},
  biburl = {https://www.bibsonomy.org/bibtex/2ea57f3d8b5b470f5c0dfc5ec6b1c7af4/bastionjersey},
  interhash = {dcf3f33630084990da9084f8fe615c0d},
  intrahash = {ea57f3d8b5b470f5c0dfc5ec6b1c7af4},
  journal = {Contemporary clinical trials},
  keywords = {analysis cluster design methodology steppedwedge},
  number = 2,
  pages = {182--191},
  publisher = {Elsevier},
  timestamp = {2024-06-26T16:05:49.000+0200},
  title = {Design and analysis of stepped wedge cluster randomized trials},
  volume = 28,
  year = 2007
}

@article{DBLP:conf/jcdl/BrackHBE22,
  abstract = {Diabetes mellitus is acknowledged as a significant contributor to severe complications. The present work has explorated the potential role amentoflavone as an aldose reductase inhibitor through Docking Simulations. From these results this compound has shown excellent results with this enzyme with a high binding energy of -11 kcal/mol. If amentoflavone,a natural biflavonoid, proves effective in inhibiting aldose reductase, it could hold therapeutic promise for managing diabetic complications. However, it is crucial to emphasize that while computational studies offer valuable insights, experimental validation is essential to confirm the actual inhibitory effects and to establish the safety and efficacy of amentoflavone for this purpose. Further research and clinical studies are warranted to fully understand and harness the potential therapeutic benefits of amentoflavone in the context of diabetes.},
  added-at = {2024-06-14T13:53:35.000+0200},
  author = {Ferrari, Ivan Vito and Mario, Mauro Di},
  bibsource = {dblp computer science bibliography, https://dblp.org},
  biburl = {https://www.bibsonomy.org/bibtex/270fb7cdcb79b2d5635d457afe6cf28b9/afrjms},
  doi = {10.62587/AFRJMS.1.1.2024.29-32},
  interhash = {1dbe2fee37c07a8b1203e52e4b786908},
  intrahash = {70fb7cdcb79b2d5635d457afe6cf28b9},
  issn = {3006-7421},
  journal = {African Research Journal of Medical Sciences},
  keywords = {Aldose Amentoflavone, Diabetes Docking analysis mellitus, reductase,},
  language = {English},
  month = {January},
  number = 1,
  pages = {29-32},
  publisher = {The Bioscience Press},
  subjectarea = {Medical Sciences},
  timestamp = {2024-06-14T13:53:35.000+0200},
  title = {Amentoflavone: Exploring potential therapeutic applications for diabetes mellitus},
  url = {https://www.afrjms.com/files/1710331149_5_AFRJMS202328171841CB_(p_29-32).pdf},
  volume = 1,
  year = 2024
}

@article{chalmers1998order,
  abstract = {Application of neural-network methods revealed relationships between hydrological and hydro chemical characteristics of water flow, suggesting structural self-organization of substances dissolved in water in the form of micro layering. In particular, the coefficient of correlation between the concentrations of such substances in some cases reaches its nearly maximal value (0.99), combining with the high weights of neural network edges. This can be supposed to be due to the mechanical and chemical interactions in river flow with the participation of Van der Waals forces, hydration, and sorption. Other factors, not taken into account, can also have their effect, in particular those responsible for the fluctuations of the parameters of order, determining the singular contributions to the dynamic characteristics of the non-linear system under consideration. Such can be the cyclic oscillations of the characteristics under control with an amplitude decreasing with a decrease in the intensity of the pollution/self purification processes in water medium and increasing with an increase in this intensity. The obtained information, in addition to its direct purpose as a means to study the nature and properties of fresh water, is a necessary condition for the effective control of water resource quality and water management activity.},
  added-at = {2024-06-12T09:27:34.000+0200},
  author = {Rozental, O. M.},
  biburl = {https://www.bibsonomy.org/bibtex/2713d62cc4ab0a9d08ccbc9aae9474ee4/bijceesjournal},
  doi = {10.54646/bijcees.2023.10},
  interhash = {b78383cea34de491fae5e7d077dba11c},
  intrahash = {713d62cc4ab0a9d08ccbc9aae9474ee4},
  issn = {2583-8857},
  journal = {BOHR International Journal of Civil Engineering and Environmental Science},
  keywords = {analysis and artificial correlations discharges industrial multiple networks neural neural-network pair quality site waste water water-monitoring},
  language = {English},
  number = 2,
  pages = {80-86},
  publisher = {BOHR Publishers},
  timestamp = {2024-06-12T09:27:34.000+0200},
  title = {Structural water self-organization in river flow},
  volume = 1,
  year = 2023
}