Summary of the paper

Title Visualizing Sentiment Analysis on a User Forum
Authors Rasmus Sundberg, Anders Eriksson, Johan Bini and Pierre Nugues
Abstract 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.
Topics Emotion Recognition/Generation, Statistical and machine learning methods, Lexicon, lexical database
Full paper Visualizing Sentiment Analysis on a User Forum
Bibtex @InProceedings{SUNDBERG12.453,
  author = {Rasmus Sundberg and Anders Eriksson and Johan Bini and Pierre Nugues},
  title = {Visualizing Sentiment Analysis on a User Forum},
  booktitle = {Proceedings of the Eight International Conference on Language Resources and Evaluation (LREC'12)},
  year = {2012},
  month = {may},
  date = {23-25},
  address = {Istanbul, Turkey},
  editor = {Nicoletta Calzolari (Conference Chair) and Khalid Choukri and Thierry Declerck and Mehmet Uğur Doğan and Bente Maegaard and Joseph Mariani and Asuncion Moreno and Jan Odijk and Stelios Piperidis},
  publisher = {European Language Resources Association (ELRA)},
  isbn = {978-2-9517408-7-7},
  language = {english}
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