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Sentiment analysis: what is the end user's requirement?

Published: 13 June 2012 Publication History

Abstract

In this paper we address the Sentiment Analysis problem from the end user's perspective. An end user might desire an automated at-a-glance presentation of the main points made in a single review or how opinion changes time to time over multiple documents. To meet the requirement we propose a relatively generic opinion 5Ws structurization, further used for textual and visual summary and tracking. The 5W task seeks to extract the semantic constituents in a natural language sentence by distilling it into the answers to the 5W questions: Who, What, When, Where and Why. The visualization system facilitates users to generate sentiment tracking with textual summary and sentiment polarity wise graph based on any dimension or combination of dimensions as they want i.e. "Who" are the actors and "What" are their sentiment regarding any topic, changes in sentiment during "When" and "Where" and the reasons for change in sentiment as "Why".

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Cited By

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  • (2022)A survey on emotional visualization and visual analysisJournal of Visualization10.1007/s12650-022-00872-526:1(177-198)Online publication date: 10-Sep-2022
  • (2021)A sentiment analysis of the influence of service attributes on consumer satisfactionJournal of Intelligent & Fuzzy Systems10.3233/JIFS-201207(1-16)Online publication date: 12-Apr-2021
  • (2018)Aspect Based Sentiment Analysis: Category Detection and Sentiment Classification for HindiComputational Linguistics and Intelligent Text Processing10.1007/978-3-319-75487-1_19(246-257)Online publication date: 21-Mar-2018
  • Show More Cited By

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Published In

cover image ACM Other conferences
WIMS '12: Proceedings of the 2nd International Conference on Web Intelligence, Mining and Semantics
June 2012
571 pages
ISBN:9781450309158
DOI:10.1145/2254129
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]

Sponsors

  • UCV: University of Craiova
  • WNRI: Western Norway Research Institute

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 13 June 2012

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Author Tags

  1. 5W structurization
  2. sentiment summarization
  3. sentiment tracking
  4. sentiment visualization

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  • Research-article

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WIMS '12
Sponsor:
  • UCV
  • WNRI

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Overall Acceptance Rate 140 of 278 submissions, 50%

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Cited By

View all
  • (2022)A survey on emotional visualization and visual analysisJournal of Visualization10.1007/s12650-022-00872-526:1(177-198)Online publication date: 10-Sep-2022
  • (2021)A sentiment analysis of the influence of service attributes on consumer satisfactionJournal of Intelligent & Fuzzy Systems10.3233/JIFS-201207(1-16)Online publication date: 12-Apr-2021
  • (2018)Aspect Based Sentiment Analysis: Category Detection and Sentiment Classification for HindiComputational Linguistics and Intelligent Text Processing10.1007/978-3-319-75487-1_19(246-257)Online publication date: 21-Mar-2018
  • (2017)The State of the Art in Sentiment VisualizationComputer Graphics Forum10.1111/cgf.1321737:1(71-96)Online publication date: 12-Jun-2017
  • (2017)MQDMInternational Journal of Intelligent Systems10.1002/int.2182632:1(17-30)Online publication date: 1-Jan-2017
  • (2016)Automatic Detection of Words Associations in Texts Based on Joint Distribution of Words OccurrencesComputational Intelligence10.1111/coin.1206532:4(535-560)Online publication date: 1-Nov-2016
  • (2015)ExpressionProceedings of the Latin American Conference on Human Computer Interaction10.1145/2824893.2824903(1-8)Online publication date: 18-Nov-2015
  • (2014)Exploring emotions over time within the blogosphere2014 International Conference on Data Science and Advanced Analytics (DSAA)10.1109/DSAA.2014.7058131(587-592)Online publication date: Oct-2014

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