Visualizing Sentiment Analysis on a User Forum

Summary, in English

Sentiment analysis, or opinion mining, is the process of extracting sentiment from documents or sentences, where the expressed sentiment is typically categorized as positive, negative, or neutral. Many different techniques have been proposed. In this paper, we report the reimplementation of nine algorithms and their evaluation across four corpora to assess the sentiment at the sentence level. We extracted the named entities from each sentence and we associated them with the sentence sentiment. We built a graphical module based on the Qlikview software suite to visualize the sentiments attached to named entities mentioned in Internet forums and follow opinion changes over time.

• Author: Rasmus Sundberg; Anders Eriksson; Johan Bini; Pierre Nugues
• Department/s: Department of Computer Science; ELLIIT: the Linköping-Lund initiative on IT and mobile communication; Robotics and Semantic Systems; Software Engineering Research Group
• Publishing year: 2012
• Language: English
• Pages: 3573-3579
• Publication/Series: Proceedings of the eighth international conference on Language Resources and Evaluation (LREC 2012)
• Full text: - 472 kB; Download statistics
• Links: http://www.lrec-conf.org/proceedings/lrec2012/pdf/453_Paper.pdf
• Document type: Conference paper
• Publisher: European Language Resources Association
• Topic: Computer Science
• Conference name: The eighth international conference on Language Resources and Evaluation (LREC 2012)
• Conference date: 2012-05-21 - 2012-05-27
• Conference place: Istanbul, Turkey
• Status: Published
• ISBN/ISSN/Other: ISBN: 978-2-9517408-7-7