Nor Anis Asma Sulaiman , Nor Alina Ismail, Siti Norbaya Daud School of Information Technology, SEGi University Journal of Engineering & Technological Advances Vol. 3, Issue 2, pp. 11-22 (2018) https://doi.org/10.35934/segi.v3i2.11 Full Text PDF |
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Abstract
Sentiment Analysis (SA) examines the hassle of studying texts, like posts and reviews, uploaded by way of customers on microblogging platforms, forums, and electronic agencies, concerning the evaluations they have got about a product, service, event, man or woman or idea. The common used of SA is classifying text to a several class such as positive, neutral and negative term classification. This paper aims to compare the techniques being used to examine SA especially for reviewing product or services. These techniques are not only being applied in review product prediction, but they were applied in different filed such as production, sales and marketing. Based on the comparison of each model and their uses, lexicon-based approach is the best solution for classifying SA.
Keywords:
Sentiment Analysis, E-Services, Opinion Mining, Machine Learning.