Lexicons in sentiment analytics
With the increasing amount of text data, sentiment analytics (SA) is becoming an important tool for text miners. An automated approach is needed to parse the online reviews and comments, and analyze their sentiments. Since lexicon is the most important component in SA, enhancing the quality of lexic...
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sg-smu-ink.sis_research-104092024-10-25T08:44:36Z Lexicons in sentiment analytics YUAN, B. SIAU, Keng With the increasing amount of text data, sentiment analytics (SA) is becoming an important tool for text miners. An automated approach is needed to parse the online reviews and comments, and analyze their sentiments. Since lexicon is the most important component in SA, enhancing the quality of lexicons will improve the efficiency and accuracy of sentiment analysis. In this research, we study the effect of coupling a general lexicon with a specialized lexicon (for a specific domain) and its impact on sentiment analysis. Two special domains and one general domain were used. The two special domains are the petroleum domain and the biology domain. The general domain is the social network domain. The results, as expected, show that coupling a general lexicon with a specialized lexicon improves the sentiment analysis. However, coupling a general lexicon with another general lexicon does not improve the sentiment analysis. 2017-05-01T07:00:00Z text application/pdf https://ink.library.smu.edu.sg/sis_research/9409 https://ink.library.smu.edu.sg/context/sis_research/article/10409/viewcontent/Lexicons_in_Sentiment_Analytics.pdf http://creativecommons.org/licenses/by-nc-nd/4.0/ Research Collection School Of Computing and Information Systems eng Institutional Knowledge at Singapore Management University Lexicon Sentiment Analysis Text Mining Machine Learning Data Mining Artificial Intelligence and Robotics Databases and Information Systems |
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Lexicon Sentiment Analysis Text Mining Machine Learning Data Mining Artificial Intelligence and Robotics Databases and Information Systems YUAN, B. SIAU, Keng Lexicons in sentiment analytics |
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With the increasing amount of text data, sentiment analytics (SA) is becoming an important tool for text miners. An automated approach is needed to parse the online reviews and comments, and analyze their sentiments. Since lexicon is the most important component in SA, enhancing the quality of lexicons will improve the efficiency and accuracy of sentiment analysis. In this research, we study the effect of coupling a general lexicon with a specialized lexicon (for a specific domain) and its impact on sentiment analysis. Two special domains and one general domain were used. The two special domains are the petroleum domain and the biology domain. The general domain is the social network domain. The results, as expected, show that coupling a general lexicon with a specialized lexicon improves the sentiment analysis. However, coupling a general lexicon with another general lexicon does not improve the sentiment analysis. |
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YUAN, B. SIAU, Keng |
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YUAN, B. SIAU, Keng |
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YUAN, B. |
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Lexicons in sentiment analytics |
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Lexicons in sentiment analytics |
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Lexicons in sentiment analytics |
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Lexicons in sentiment analytics |
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Lexicons in sentiment analytics |
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lexicons in sentiment analytics |
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Institutional Knowledge at Singapore Management University |
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2017 |
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https://ink.library.smu.edu.sg/sis_research/9409 https://ink.library.smu.edu.sg/context/sis_research/article/10409/viewcontent/Lexicons_in_Sentiment_Analytics.pdf |
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