Visualizing Sentiment Analysis on a User Forum
(2012) 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.
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/2972004
- author
- Sundberg, Rasmus LU ; Eriksson, Anders ; Bini, Johan and Nugues, Pierre LU
- organization
- publishing date
- 2012
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- host publication
- Proceedings of the eighth international conference on Language Resources and Evaluation (LREC 2012)
- pages
- 3573 - 3579
- publisher
- European Language Resources Association
- conference name
- The eighth international conference on Language Resources and Evaluation (LREC 2012)
- conference location
- Istanbul, Turkey
- conference dates
- 2012-05-21 - 2012-05-27
- external identifiers
-
- wos:000323927703106
- scopus:84979660074
- ISBN
- 978-2-9517408-7-7
- 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
- 2016-04-04 10:26:15
- date last changed
- 2022-03-23 08:01:48
@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)}}, isbn = {{978-2-9517408-7-7}}, language = {{eng}}, pages = {{3573--3579}}, publisher = {{European Language Resources Association}}, title = {{Visualizing Sentiment Analysis on a User Forum}}, url = {{https://lup.lub.lu.se/search/files/5538738/2972005.pdf}}, year = {{2012}}, }