Unsupervised Sentiment-Bearing Feature Selection for Document-Level Sentiment Classification

IEICE Transactions on Information and Systems ◽

10.1587/transinf.e96.d.2805 ◽

2013 ◽

Vol E96.D (12) ◽

pp. 2805-2813 ◽

Author(s):

Yan LI ◽

Zhen QIN ◽

Weiran XU ◽

Heng JI ◽

Jun GUO

Keyword(s):

Feature Selection ◽

Sentiment Classification ◽

Selection For ◽

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Adaptive two-stage feature selection for sentiment classification

2017 IEEE International Conference on Systems, Man, and Cybernetics (SMC) ◽

10.1109/smc.2017.8122782 ◽

2017 ◽

Author(s):

Xu Chi ◽

Tan Puay Siew ◽

Erik Cambria

Keyword(s):

Feature Selection ◽

Sentiment Classification ◽

Two Stage ◽

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Optimal Feature Selection for Learning-Based Algorithms for Sentiment Classification

Cognitive Computation ◽

10.1007/s12559-019-09669-5 ◽

2019 ◽

Vol 12 (1) ◽

pp. 238-248 ◽

Author(s):

Zhaoxia Wang ◽

Zhiping Lin

Keyword(s):

Feature Selection ◽

Sentiment Classification ◽

Optimal Feature Selection ◽

Selection For ◽

Optimal Feature

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A Hybrid Method of Feature Selection for Chinese Text Sentiment Classification

Fourth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD 2007) ◽

10.1109/fskd.2007.49 ◽

2007 ◽

Author(s):

Suge Wang ◽

Yingjie Wei ◽

Deyu Li ◽

Wu Zhang ◽

Wei Li

Keyword(s):

Feature Selection ◽

Chinese Text ◽

Hybrid Method ◽

Sentiment Classification ◽

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Text feature selection for sentiment classification of Chinese online reviews

Journal of Experimental & Theoretical Artificial Intelligence ◽

10.1080/0952813x.2012.721139 ◽

2013 ◽

Vol 25 (4) ◽

pp. 425-439 ◽

Author(s):

Hongwei Wang ◽

Pei Yin ◽

Jiani Yao ◽

James N.K. Liu

Keyword(s):

Feature Selection ◽

Online Reviews ◽

Sentiment Classification ◽

Text Feature ◽

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Intelligent Hybrid Feature Selection for Textual Sentiment Classification

IEEE Access ◽

10.1109/access.2021.3118982 ◽

2021 ◽

pp. 1-1

Author(s):

Jawad Khan ◽

Aftab Alam ◽

Youngmoon Lee

Keyword(s):

Feature Selection ◽

Sentiment Classification ◽

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An Empirical Evaluation of Correlation Based Feature Selection for Tweet Sentiment Classification

Lecture Notes in Electrical Engineering - Advances in Cybernetics, Cognition, and Machine Learning for Communication Technologies ◽

10.1007/978-981-15-3125-5_22 ◽

2020 ◽

pp. 199-208

Author(s):

Sanur Sharma ◽

Anurag Jain

Keyword(s):

Feature Selection ◽

Empirical Evaluation ◽

Sentiment Classification ◽

Correlation Based Feature Selection ◽

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Dictionary Based SVM Feature Selection for Sentiment Classification

International Journal of Computer Sciences and Engineering ◽

10.26438/ijcse/v6i8.603607 ◽

2018 ◽

Vol 6 (8) ◽

pp. 603-607

Author(s):

K. Bhuvaneswari ◽

R. Parimala

Keyword(s):

Feature Selection ◽

Sentiment Classification ◽

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Feature Selection for Sentiment Classification Using Matrix Factorization

Proceedings of the 24th International Conference on World Wide Web - WWW '15 Companion ◽

10.1145/2740908.2742741 ◽

2015 ◽

Author(s):

Jiguang Liang ◽

Xiaofei Zhou ◽

Li Guo ◽

Shuo Bai

Keyword(s):

Feature Selection ◽

Matrix Factorization ◽

Sentiment Classification ◽

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Term Co-occurrence Based Feature Selection for Sentiment Classification

Communications in Computer and Information Science - Smart and Innovative Trends in Next Generation Computing Technologies ◽

10.1007/978-981-10-8657-1_31 ◽

2018 ◽

pp. 405-417

Author(s):

Sudarshan S. Sonawane ◽

Satish R. Kolhe

Keyword(s):

Feature Selection ◽

Sentiment Classification ◽

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Deep Belief Networks with Feature Selection for Sentiment Classification

2016 7th International Conference on Intelligent Systems, Modelling and Simulation (ISMS) ◽

10.1109/isms.2016.9 ◽

2016 ◽

Author(s):

Patrawut Ruangkanokmas ◽

Tiranee Achalakul ◽

Khajonpong Akkarajitsakul

Keyword(s):

Feature Selection ◽

Sentiment Classification ◽

Belief Networks ◽

Deep Belief Networks ◽

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