Visualizing Sentiment Analysis on a User Forum

Rasmus Sundberg, Anders Eriksson, Johan Bini, 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.
Anthology ID:
L12-1239
Volume:
Proceedings of the Eighth International Conference on Language Resources and Evaluation (LREC'12)
Month:
May
Year:
2012
Address:
Istanbul, Turkey
Editors:
Nicoletta Calzolari, Khalid Choukri, Thierry Declerck, Mehmet Uğur Doğan, Bente Maegaard, Joseph Mariani, Asuncion Moreno, Jan Odijk, Stelios Piperidis
Venue:
LREC
SIG:
Publisher:
European Language Resources Association (ELRA)
Note:
Pages:
3573–3579
Language:
URL:
http://www.lrec-conf.org/proceedings/lrec2012/pdf/453_Paper.pdf
DOI:
Bibkey:
Cite (ACL):
Rasmus Sundberg, Anders Eriksson, Johan Bini, and Pierre Nugues. 2012. Visualizing Sentiment Analysis on a User Forum. In Proceedings of the Eighth International Conference on Language Resources and Evaluation (LREC'12), pages 3573–3579, Istanbul, Turkey. European Language Resources Association (ELRA).
Cite (Informal):
Visualizing Sentiment Analysis on a User Forum (Sundberg et al., LREC 2012)
Copy Citation:
PDF:
http://www.lrec-conf.org/proceedings/lrec2012/pdf/453_Paper.pdf