SenticNet 2: A semantic and affective resource for opinion mining and sentiment analysis

Proceedings of the 25th International Florida Artificial Intelligence Research Society Conference, FLAIRS-25

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Main Authors: Cambria, E., Havasi, C., Hussain, A.
Other Authors: TEMASEK LABORATORIES
Format: Conference or Workshop Item
Published: 2014
Online Access:http://scholarbank.nus.edu.sg/handle/10635/111637
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Institution: National University of Singapore
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spelling sg-nus-scholar.10635-1116372024-11-14T04:13:41Z SenticNet 2: A semantic and affective resource for opinion mining and sentiment analysis Cambria, E. Havasi, C. Hussain, A. TEMASEK LABORATORIES Proceedings of the 25th International Florida Artificial Intelligence Research Society Conference, FLAIRS-25 202-207 2014-11-28T01:54:28Z 2014-11-28T01:54:28Z 2012 Conference Paper Cambria, E.,Havasi, C.,Hussain, A. (2012). SenticNet 2: A semantic and affective resource for opinion mining and sentiment analysis. Proceedings of the 25th International Florida Artificial Intelligence Research Society Conference, FLAIRS-25 : 202-207. ScholarBank@NUS Repository. 9781577355588 http://scholarbank.nus.edu.sg/handle/10635/111637 NOT_IN_WOS Scopus
institution National University of Singapore
building NUS Library
continent Asia
country Singapore
Singapore
content_provider NUS Library
collection ScholarBank@NUS
description Proceedings of the 25th International Florida Artificial Intelligence Research Society Conference, FLAIRS-25
author2 TEMASEK LABORATORIES
author_facet TEMASEK LABORATORIES
Cambria, E.
Havasi, C.
Hussain, A.
format Conference or Workshop Item
author Cambria, E.
Havasi, C.
Hussain, A.
spellingShingle Cambria, E.
Havasi, C.
Hussain, A.
SenticNet 2: A semantic and affective resource for opinion mining and sentiment analysis
author_sort Cambria, E.
title SenticNet 2: A semantic and affective resource for opinion mining and sentiment analysis
title_short SenticNet 2: A semantic and affective resource for opinion mining and sentiment analysis
title_full SenticNet 2: A semantic and affective resource for opinion mining and sentiment analysis
title_fullStr SenticNet 2: A semantic and affective resource for opinion mining and sentiment analysis
title_full_unstemmed SenticNet 2: A semantic and affective resource for opinion mining and sentiment analysis
title_sort senticnet 2: a semantic and affective resource for opinion mining and sentiment analysis
publishDate 2014
url http://scholarbank.nus.edu.sg/handle/10635/111637
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