Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/66213
Title: Intersubjectivity and sentiment : from language to knowledge
Authors: Gui, L
Xu, R
He, Y
Lu, Q
Wei, Z
Issue Date: 2016
Publisher: International Joint Conferences on Artificial Intelligence
Source: IJCAI International Joint Conference on Artificial Intelligence, 2016, v. 2016-January, p. 2789-2795 How to cite?
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.
Description: 25th International Joint Conference on Artificial Intelligence, IJCAI 2016, New York, US, 9-15 July 2016
URI: http://hdl.handle.net/10397/66213
ISSN: 1045-0823
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