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English and Malay cross-lingual sentiment lexicon acquisition and analysis


Nasharuddin, Nurul Amelina and Abdullah, Muhamad taufik and Azman, Azreen and Abdul Kadir, Rabiah (2017) English and Malay cross-lingual sentiment lexicon acquisition and analysis. In: Lecture Notes in Electrical Engineering. Springer Verlag, MALAYSIA, 467 - 475. ISBN 9789811041532


Sentiment analysis finds opinions, sentiments or emotions in user-generated contents. Most efforts are focusing on the English language, for which a large amount of sources and tools for sentiment analysis are available. The objective of this paper is to introduce a cross-lingual sentiment lexicon acquisition method for the Malay and English languages and further being test on a set of news test collections. Several part of speech tags are being experimented using the Word Score Summation technique in order to classify the sentiment of the news articles. This method records up to 50% as experimental accuracy result and works better for verbs and negations in both the English and Malay news articles.

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Additional Metadata

Item Type: Book Section
Divisions: Faculty of Computer Science and Information Technology
DOI Number: https://doi.org/10.1007/978-981-10-4154-9_54
Publisher: Springer Verlag
Keywords: Sentiment Analysis; Artificial Immune System; Word Sense Disambiguation; Sentiment Categorisation; Sentiment Lexicon
Depositing User: Azhar Abdul Rahman
Date Deposited: 17 Mar 2020 08:36
Last Modified: 17 Mar 2020 08:36
URI: http://psasir.upm.edu.my/id/eprint/63093
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