Effective Sentiment-relevant Word Selection for Multi-modal Sentiment Analysis in Spoken Language

Proceedings of the 27th ACM International Conference on Multimedia ◽

10.1145/3343031.3350987 ◽

2019 ◽

Author(s):

Dong Zhang ◽

Shoushan Li ◽

Qiaoming Zhu ◽

Guodong Zhou

Keyword(s):

Sentiment Analysis ◽

Spoken Language ◽

Selection For ◽

Relevant Word ◽

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Evolutionary Multiobjective Feature Selection for Sentiment Analysis

IEEE Access ◽

10.1109/access.2021.3118961 ◽

2021 ◽

pp. 1-1

Author(s):

Ayca Deniz ◽

Merih Angin ◽

Pelin Angin

Keyword(s):

Feature Selection ◽

Sentiment Analysis ◽

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Target Word Selection for Korean Verbs Using a Bilingual Dictionary and WordNet

AI 2005: Advances in Artificial Intelligence - Lecture Notes in Computer Science ◽

10.1007/11589990_177 ◽

2005 ◽

pp. 1233-1236

Author(s):

Kweon Yang Kim ◽

Byong Gul Lee ◽

Dong Kwon Hong

Keyword(s):

Target Word ◽

Bilingual Dictionary ◽

Selection For ◽

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Optimized Swarm Search-Based Feature Selection for Text Mining in Sentiment Analysis

2015 IEEE International Conference on Data Mining Workshop (ICDMW) ◽

10.1109/icdmw.2015.231 ◽

2015 ◽

Author(s):

Simon Fong ◽

Elisa Gao ◽

Raymond Wong

Keyword(s):

Feature Selection ◽

Text Mining ◽

Sentiment Analysis ◽

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Sentimental feature selection for sentiment analysis of Chinese online reviews

International Journal of Machine Learning and Cybernetics ◽

10.1007/s13042-015-0347-4 ◽

2015 ◽

Vol 9 (1) ◽

pp. 75-84 ◽

Author(s):

Lijuan Zheng ◽

Hongwei Wang ◽

Song Gao

Keyword(s):

Feature Selection ◽

Sentiment Analysis ◽

Online Reviews ◽

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Optimal stop word selection for text mining in critical infrastructure domain

2015 Resilience Week (RWS) ◽

10.1109/rweek.2015.7287440 ◽

2015 ◽

Author(s):

Kasun Amarasinghe ◽

Milos Manic ◽

Ryan Hruska

Keyword(s):

Text Mining ◽

Critical Infrastructure ◽

Stop Word ◽

Selection For ◽

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Speaker and material selection for the Australian national database of spoken language*

Journal of Quantitative Linguistics ◽

10.1080/09296179508590049 ◽

1995 ◽

Vol 2 (3) ◽

pp. 177-211 ◽

Author(s):

Julie Vonwiller ◽

Inge Rogers ◽

Chris Cleirigh ◽

Wendy Lewis

Keyword(s):

Material Selection ◽

Spoken Language ◽

National Database ◽

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Feature Selection for Twitter Sentiment Analysis: An Experimental Study

Computational Linguistics and Intelligent Text Processing - Lecture Notes in Computer Science ◽

10.1007/978-3-319-18117-2_7 ◽

2015 ◽

pp. 92-103 ◽

Author(s):

Riham Mansour ◽

Mohamed Farouk Abdel Hady ◽

Eman Hosam ◽

Hani Amr ◽

Ahmed Ashour

Keyword(s):

Experimental Study ◽

Feature Selection ◽

Sentiment Analysis ◽

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Automatic keyword selection for sentiment analysis using class dependency and dissimilarity

2016 13th International Joint Conference on Computer Science and Software Engineering (JCSSE) ◽

10.1109/jcsse.2016.7748840 ◽

2016 ◽

Author(s):

Niphat Claypo ◽

Saichon Jaiyen

Keyword(s):

Sentiment Analysis ◽

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Domain Adaptation Using Domain Similarity- and Domain Complexity-Based Instance Selection for Cross-Domain Sentiment Analysis

2012 IEEE 12th International Conference on Data Mining Workshops ◽

10.1109/icdmw.2012.46 ◽

2012 ◽

Author(s):

Robert Remus

Keyword(s):

Sentiment Analysis ◽

Domain Adaptation ◽

Instance Selection ◽

Cross Domain ◽

Selection For ◽

Domain Similarity

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Comparison of Naïve Bayes Algorithm with Genetic Algorithm and Particle Swarm Optimization as Feature Selection for Sentiment Analysis Review of Digital Learning Application

Journal of Physics Conference Series ◽

10.1088/1742-6596/1641/1/012040 ◽

2020 ◽

Vol 1641 ◽

pp. 012040

Author(s):

Siti Ernawati ◽

Risa Wati ◽

Nuzuliarini Nuris ◽

Lita Sari Marita ◽

Eka Rini Yulia

Keyword(s):

Genetic Algorithm ◽

Feature Selection ◽

Particle Swarm Optimization ◽

Sentiment Analysis ◽

Naive Bayes ◽

Particle Swarm ◽

Digital Learning ◽

Swarm Optimization ◽

Selection For ◽

Bayes Algorithm

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