research-article

EmoTube: A Sentiment Analysis Integrated Environment for Social Web Content

Authors:

Evangelia Polymerou,

Despoina Chatzakou,

Athena VakaliAuthors Info & Claims

WIMS '14: Proceedings of the 4th International Conference on Web Intelligence, Mining and Semantics (WIMS14)

Article No.: 20, Pages 1 - 6

https://doi.org/10.1145/2611040.2611081

Published: 02 June 2014 Publication History

Abstract

Mashup technologies offer numerous capabilities for innovative applications and services development and integration. Content accessing via mashups' interoperable and dynamic interfaces facilitates new enterprise models, while technological tools and smart techniques contribute to the development of integrated platforms. This work presents the principles and characteristics of the so-called "EmoTube" mashup, which is an integrated Web environment suitable for capturing and summarizing users' opinions expressed in their comments on YouTube videos. The main goal of this implementation is the visualization of users' opinions on a geo-located map for a better positioning of peoples' attitudes about various issues. Such summarization can be beneficial for several services such as recommendations and policy and decision making.

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Cited By

Cortis KDavis B(2021)Over a decade of social opinion mining: a systematic reviewArtificial Intelligence Review10.1007/s10462-021-10030-2Online publication date: 25-Jun-2021
https://doi.org/10.1007/s10462-021-10030-2
Al-Tamimi AShatnawi ABani-Issa E(2017)Arabic sentiment analysis of YouTube comments2017 IEEE Jordan Conference on Applied Electrical Engineering and Computing Technologies (AEECT)10.1109/AEECT.2017.8257766(1-6)Online publication date: Oct-2017
https://doi.org/10.1109/AEECT.2017.8257766
Vesyropoulos NGeorgiadis CKatsaros P(2017)Ensuring business and service requirements in enterprise mashupsInformation Systems and e-Business Management10.1007/s10257-017-0363-x16:1(205-242)Online publication date: 6-Sep-2017
https://doi.org/10.1007/s10257-017-0363-x
Show More Cited By

Index Terms

EmoTube: A Sentiment Analysis Integrated Environment for Social Web Content
1. Software and its engineering
  1. Software notations and tools
    1. Development frameworks and environments
      1. Integrated and visual development environments

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cover image ACM Other conferences

WIMS '14: Proceedings of the 4th International Conference on Web Intelligence, Mining and Semantics (WIMS14)

June 2014

506 pages

ISBN:9781450325387

DOI:10.1145/2611040

Copyright © 2014 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Aristotle University of Thessaloniki

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 02 June 2014

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WIMS '14

WIMS '14: 4th International Conference on Web Intelligence, Mining and Semantics

June 2 - 4, 2014

Thessaloniki, Greece

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WIMS '14 Paper Acceptance Rate 41 of 90 submissions, 46%;

Overall Acceptance Rate 140 of 278 submissions, 50%

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Cited By

Cortis KDavis B(2021)Over a decade of social opinion mining: a systematic reviewArtificial Intelligence Review10.1007/s10462-021-10030-2Online publication date: 25-Jun-2021
https://doi.org/10.1007/s10462-021-10030-2
Al-Tamimi AShatnawi ABani-Issa E(2017)Arabic sentiment analysis of YouTube comments2017 IEEE Jordan Conference on Applied Electrical Engineering and Computing Technologies (AEECT)10.1109/AEECT.2017.8257766(1-6)Online publication date: Oct-2017
https://doi.org/10.1109/AEECT.2017.8257766
Vesyropoulos NGeorgiadis CKatsaros P(2017)Ensuring business and service requirements in enterprise mashupsInformation Systems and e-Business Management10.1007/s10257-017-0363-x16:1(205-242)Online publication date: 6-Sep-2017
https://doi.org/10.1007/s10257-017-0363-x
Kravvaris DKermanidis K(2017)Opinion Mining for Educational Video LecturesGeNeDis 201610.1007/978-3-319-57348-9_20(235-243)Online publication date: 3-Oct-2017
https://doi.org/10.1007/978-3-319-57348-9_20
Violos JTserpes KPsomakelis EPsychas KVarvarigou T(2016)Sentiment Analysis using Word-GraphsProceedings of the 6th International Conference on Web Intelligence, Mining and Semantics10.1145/2912845.2912863(1-9)Online publication date: 13-Jun-2016
https://dl.acm.org/doi/10.1145/2912845.2912863
Ahmed KTazi NHossny A(2015)Sentiment Analysis over Social Networks: An Overview2015 IEEE International Conference on Systems, Man, and Cybernetics10.1109/SMC.2015.380(2174-2179)Online publication date: Oct-2015
https://doi.org/10.1109/SMC.2015.380

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