Intersubjectivity and sentiment:from language to knowledge

Gui, Lin, Xu, Ruifeng, He, Yulan, Lu, Qin and Wei, Zhongyu (2016). Intersubjectivity and sentiment:from language to knowledge. IN: Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence (IJCAI-16). Palo Alto, CA (US): AAAI.

Abstract

Intersubjectivity is an important concept in psychology and sociology. It refers to sharing conceptualizations through social interactions in a community and using such shared conceptualization as a resource to interpret things that happen in everyday life. In this work, we make use of intersubjectivity as the basis to model shared stance and subjectivity for sentiment analysis. We construct an intersubjectivity network which links review writers, terms they used, as well as the polarities of the terms. Based on this network model, we propose a method to learn writer embeddings which are subsequently incorporated into a convolutional neural network for sentiment analysis. Evaluations on the IMDB, Yelp 2013 and Yelp 2014 datasets show that the proposed approach has achieved the state-of-the-art performance.

Divisions: Engineering & Applied Sciences > Computer science
Engineering & Applied Sciences > Systems analytics research institute (SARI)
Engineering & Applied Sciences > Computer science research group
Additional Information: -
Event Title: 25th International Joint Conference on Artificial Intelligence
Event Type: Other
Event Dates: 2016-07-09 - 2016-07-15
Uncontrolled Keywords: Artificial Intelligence
Full Text Link: http://www.ijca ... /Papers/396.pdf
Related URLs: http://www.scop ... tnerID=8YFLogxK (Scopus URL)
Published Date: 2016-07-15
Authors: Gui, Lin
Xu, Ruifeng
He, Yulan ( 0000-0003-3948-5845)
Lu, Qin
Wei, Zhongyu

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