Intersubjectivity and sentiment: from language to knowledge

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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.

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Publication date2016
Publication titleProceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence (IJCAI-16)
Place of PublicationPalo Alto, CA (US)
PublisherAAAI
Pages2789-2795
Number of pages7
ISBN (Electronic)978-1-57735-771-1
ISBN (Print)978-1-57735-770-4
Original languageEnglish
Event25th International Joint Conference on Artificial Intelligence - New York, United States

Conference

Conference25th International Joint Conference on Artificial Intelligence
CountryUnited States
CityNew York
Period9/07/1615/07/16

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Employable Graduates; Exploitable Research

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