Lexical Based Sentiment Analysis–Verb,Adverb & Negation

Basiron, Halizah and Shamsudin, Nurul Fathiyah and Sa'aya, Zurina (2016) Lexical Based Sentiment Analysis–Verb,Adverb & Negation. Journal Of Telecommunication, Electronic And Computer Engineering (JTEC) , 8. pp. 161-166. ISSN 2180-1843

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Sentiment analysis is a method to determine whether the feedback given by the user is positive or negative.The comments posted by users consists noisy text which includes abbreviations,misspelling and short forms. Sentiment analysis becomes challenging when dealing with noisy data.The objective of this paper is to introduce a lexical based method in classifying sentiment of Facebook comments in Malay language.Two types of lexical based techniques namely Term Counting and Term Counting Average are implemented in order to classify the sentiment of Facebook comments.Several parts of speech tags are being taken into account.Pre-processing process is involved in dealing noisy texts in data.Term Counting works better for adjectives and adverbs while Term Counting Average performs better for verbs and negation words.

Item Type: Article
Uncontrolled Keywords: Sentiment analysis; Lexical based approach; Term counting, Term counting average.
Subjects: Q Science > Q Science (General)
Divisions: Faculty of Information and Communication Technology
Depositing User: Mohd. Nazir Taib
Date Deposited: 11 Feb 2019 04:48
Last Modified: 16 Aug 2021 14:24
URI: http://eprints.utem.edu.my/id/eprint/21587
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