Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/105727
DC Field | Value | Language |
---|---|---|
dc.contributor | Department of Computing | en_US |
dc.creator | Gui, L | en_US |
dc.creator | Xu, R | en_US |
dc.creator | He, Y | en_US |
dc.creator | Lu, Q | en_US |
dc.creator | Wei, Z | en_US |
dc.date.accessioned | 2024-04-15T07:36:16Z | - |
dc.date.available | 2024-04-15T07:36:16Z | - |
dc.identifier.isbn | 978-1-57735-770-4 (volumes 1-3) | en_US |
dc.identifier.isbn | 978-1-57735-771-1 (volumes 4-6) | en_US |
dc.identifier.uri | http://hdl.handle.net/10397/105727 | - |
dc.language.iso | en | en_US |
dc.publisher | International Joint Conferences on Artificial Intelligence | en_US |
dc.rights | Copyright © 2016 International Joint Conferences on Artificial Intelligence | en_US |
dc.rights | All rights reserved. No part of this book may be reproduced in any form by any electronic or mechanical means (including photocopying, recording, or information storage and retrieval) without permission in writing from the publisher. | en_US |
dc.rights | Posted with permission of the IJCAI Organization (https://www.ijcai.org/). | en_US |
dc.rights | The following publication Gui, L., Xu, R., He, Y., Lu, Q., & Wei, Z. (2018). Intersubjectivity and sentiment: from language to knowledge. In Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence New York, New York, USA, 9–15 July 2016, p. 2789-2795 is available at https://www.ijcai.org/Abstract/16/396. | en_US |
dc.title | Intersubjectivity and sentiment : from language to knowledge | en_US |
dc.type | Conference Paper | en_US |
dc.identifier.spage | 2789 | en_US |
dc.identifier.epage | 2795 | en_US |
dcterms.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. | en_US |
dcterms.accessRights | open access | en_US |
dcterms.bibliographicCitation | Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, New York, New York, USA, 9-15 July 2016, p. 2789-2795 | en_US |
dcterms.issued | 2016 | - |
dc.relation.conference | International Joint Conference on Artificial Intelligence [IJCAI] | en_US |
dc.description.validate | 202402 bcch | en_US |
dc.description.oa | Version of Record | en_US |
dc.identifier.FolderNumber | COMP-1621 | - |
dc.description.fundingSource | Others | en_US |
dc.description.fundingText | National Natural Science Foundation of China; National 863 Program of China; Shenzhen Development and Reform Commission; Shenzhen Peacock Plan Research Grant; Shenzhen Foundational Research Funding; GRF fund PolyU | en_US |
dc.description.pubStatus | Published | en_US |
dc.identifier.OPUS | 6908387 | - |
dc.description.oaCategory | Publisher permission | en_US |
Appears in Collections: | Conference Paper |
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