Affective Common Sense Knowledge Acquisition for Sentiment Analysis

Erik Cambria, Yunqing Xia, Amir Hussain


Abstract
Thanks to the advent of Web 2.0, the potential for opinion sharing today is unmatched in history. Making meaning out of the huge amount of unstructured information available online, however, is extremely difficult as web-contents, despite being perfectly suitable for human consumption, still remain hardly accessible to machines. To bridge the cognitive and affective gap between word-level natural language data and the concept-level sentiments conveyed by them, affective common sense knowledge is needed. In sentic computing, the general common sense knowledge contained in ConceptNet is usually exploited to spread affective information from selected affect seeds to other concepts. In this work, besides exploiting the emotional content of the Open Mind corpus, we also collect new affective common sense knowledge through label sequential rules, crowd sourcing, and games-with-a-purpose techniques. In particular, we develop Open Mind Common Sentics, an emotion-sensitive IUI that serves both as a platform for affective common sense acquisition and as a publicly available NLP tool for extracting the cognitive and affective information associated with short texts.
Anthology ID:
L12-1028
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:
3580–3585
Language:
URL:
http://www.lrec-conf.org/proceedings/lrec2012/pdf/159_Paper.pdf
DOI:
Bibkey:
Cite (ACL):
Erik Cambria, Yunqing Xia, and Amir Hussain. 2012. Affective Common Sense Knowledge Acquisition for Sentiment Analysis. In Proceedings of the Eighth International Conference on Language Resources and Evaluation (LREC'12), pages 3580–3585, Istanbul, Turkey. European Language Resources Association (ELRA).
Cite (Informal):
Affective Common Sense Knowledge Acquisition for Sentiment Analysis (Cambria et al., LREC 2012)
Copy Citation:
PDF:
http://www.lrec-conf.org/proceedings/lrec2012/pdf/159_Paper.pdf