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Visualizing Sentiment Analysis on a User Forum

Sundberg, Rasmus; Eriksson, Anders; Bini, Johan and Nugues, Pierre LU (2012) The eighth international conference on Language Resources and Evaluation (LREC 2012) In Proceedings of the eighth international conference on Language Resources and Evaluation (LREC 2012) p.3573-3579
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.
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organization
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type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
in
Proceedings of the eighth international conference on Language Resources and Evaluation (LREC 2012)
pages
3573 - 3579
publisher
European Language Resources Association (ELRA)
conference name
The eighth international conference on Language Resources and Evaluation (LREC 2012)
external identifiers
  • WOS:000323927703106
language
English
LU publication?
yes
id
a0cd4d79-05f1-418e-94be-24b232af080a (old id 2972004)
alternative location
http://www.lrec-conf.org/proceedings/lrec2012/pdf/453_Paper.pdf
date added to LUP
2012-08-17 09:58:04
date last changed
2017-01-13 12:00:27
@inproceedings{a0cd4d79-05f1-418e-94be-24b232af080a,
  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.},
  author       = {Sundberg, Rasmus and Eriksson, Anders and Bini, Johan and Nugues, Pierre},
  booktitle    = {Proceedings of the eighth international conference on Language Resources and Evaluation (LREC 2012)},
  language     = {eng},
  pages        = {3573--3579},
  publisher    = {European Language Resources Association (ELRA)},
  title        = {Visualizing Sentiment Analysis on a User Forum},
  year         = {2012},
}