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A NLP framework based on meaningful latent-topic detection and sentiment analysis via fuzzy lattice reasoning on youtube comments

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Abstract

Social media platforms such as Twitter, Facebook, and YouTube have unique architecture, norms, and culture. These platforms are valuable sources of people’s opinions which should be examined for knowledge discovery and user behavior analysis. This paper proposed a novel content analysis to examine user reviews or movie comments on YouTube. In fact, the proposed hybrid framework is based on semantic and sentiment aspects using fuzzy lattice reasoning to meaningful latent-topic detection and utilizing sentiment analysis of user comments of the Oscar-nominated movie trailers on YouTube. Based on the word vector feature, classification algorithms are employed to detect the comments’ sentiment level. The results of this study suggest that the hybrid framework could be effective to extract features associated and latent topics with sentiment valence on user comments. In addition, NLP methods can have an impressive role for exploring the relationship between user opinion and Oscar movies comments on YouTube.

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Notes

  1. https://www.kaggle.com/PromptCloudHQ/youtube-reviews-for-oscarnominated-movie-trailers.

  2. http://mallet.cs.umass.edu/topics.php

  3. https://www.nltk.org/index.html

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Acknowledgments

This article has been awarded by the National Natural Science Foundation of China (61941113), the Fundamental Research Fund for the Central Universities (30918015103, 30918012204), Nanjing Science and Technology Development Plan Project (201805036), China Academy of Engineering Consulting Research Project(2019-ZD-1-02-02), National Social Science Foundation (18BTQ073), State Grid Technology Project (5211XT190033).

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  1. School of Computer Science and Technology, Nanjing University of Science and Technology, Nanjing, 210094, China

    Hamed Jelodar, Yongli Wang, Mahdi Rabbani, Sajjad Bagheri Baba Ahmadi, Lynda Boukela, Ruxin Zhao & Raja Sohail Ahmed Larik

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  1. Hamed Jelodar
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Jelodar, H., Wang, Y., Rabbani, M. et al. A NLP framework based on meaningful latent-topic detection and sentiment analysis via fuzzy lattice reasoning on youtube comments. Multimed Tools Appl 80, 4155–4181 (2021). https://doi.org/10.1007/s11042-020-09755-z

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