Aspect-based Twitter sentiment classification

10.1109/ICTAI.2013.62

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Bibliographic Details
Main Authors: Lek, H.H., Poo, D.C.C.
Other Authors: INFORMATION SYSTEMS
Format: Conference or Workshop Item
Published: 2014
Subjects:
Online Access:http://scholarbank.nus.edu.sg/handle/10635/78027
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Institution: National University of Singapore
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spelling sg-nus-scholar.10635-780272023-10-30T09:46:27Z Aspect-based Twitter sentiment classification Lek, H.H. Poo, D.C.C. INFORMATION SYSTEMS Aspect-based Sentiment Analysis Opinion Mining Sentiment Analysis Twitter Sentiment Analysis 10.1109/ICTAI.2013.62 Proceedings - International Conference on Tools with Artificial Intelligence, ICTAI 366-373 PCTIF 2014-07-04T03:11:35Z 2014-07-04T03:11:35Z 2013 Conference Paper Lek, H.H., Poo, D.C.C. (2013). Aspect-based Twitter sentiment classification. Proceedings - International Conference on Tools with Artificial Intelligence, ICTAI : 366-373. ScholarBank@NUS Repository. https://doi.org/10.1109/ICTAI.2013.62 9781479929719 10823409 http://scholarbank.nus.edu.sg/handle/10635/78027 000482633400036 Scopus
institution National University of Singapore
building NUS Library
continent Asia
country Singapore
Singapore
content_provider NUS Library
collection ScholarBank@NUS
topic Aspect-based Sentiment Analysis
Opinion Mining
Sentiment Analysis
Twitter Sentiment Analysis
spellingShingle Aspect-based Sentiment Analysis
Opinion Mining
Sentiment Analysis
Twitter Sentiment Analysis
Lek, H.H.
Poo, D.C.C.
Aspect-based Twitter sentiment classification
description 10.1109/ICTAI.2013.62
author2 INFORMATION SYSTEMS
author_facet INFORMATION SYSTEMS
Lek, H.H.
Poo, D.C.C.
format Conference or Workshop Item
author Lek, H.H.
Poo, D.C.C.
author_sort Lek, H.H.
title Aspect-based Twitter sentiment classification
title_short Aspect-based Twitter sentiment classification
title_full Aspect-based Twitter sentiment classification
title_fullStr Aspect-based Twitter sentiment classification
title_full_unstemmed Aspect-based Twitter sentiment classification
title_sort aspect-based twitter sentiment classification
publishDate 2014
url http://scholarbank.nus.edu.sg/handle/10635/78027
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