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Item
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Analyzing Sentiment of Myanmar Movie Comments Using Naïve Bayes Classifier
https://meral.edu.mm/records/6747
https://meral.edu.mm/records/67474e7cddfa-e118-48e5-9720-46c32acf95db
ceb28018-b07b-4a9a-ac8a-2186267cc527
Name / File | License | Actions |
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Publication type | ||||||
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Conference paper | ||||||
Upload type | ||||||
Publication | ||||||
Title | ||||||
Title | Analyzing Sentiment of Myanmar Movie Comments Using Naïve Bayes Classifier | |||||
Language | en | |||||
Publication date | 2019-05-25 | |||||
Authors | ||||||
Win Win Thant | ||||||
Ei Ei Mon | ||||||
Description | ||||||
Sentiment analysis is extremely useful in social media monitoring as it allows us to gain an overview of the wider public opinion behind certain topics. It is also the use of Natural Language Processing (NLP) to analyze social comments and determine a deeper context. Due to little research has been done in the domain of Facebook sentiment classification about Myanmar movie comments, this system aims to determine the overall reaction of the movie using Naïve Bayesian machine learning technique. The objective of this system is to extract movie features from the comments, classify the comments into positive and negative and predict the overall polarity of the comments. In the data preparation phase, the system collects movie comments written by Myanmar language in Facebook as a dataset and these comments are first cleaned to reduce noise. Text pre-processing is also done on Myanmar Word Segmentation Version 1.0 of UCSY and movie features are extracted. Classification is made by using Naïve Bayes approach that gives rise to a probabilistic classifier. For evaluation, 10-fold cross validation which is a standard machine learning assessment technique has been performed on a balanced data set of the movie comments. And the performance of the proposed approach was also evaluated using F-measure. | ||||||
Keywords | ||||||
Sentiment Analysis, Naïve Bayes, Facebook, Myanmar Movie Comments | ||||||
Conference papers | ||||||
MURC 2019 | ||||||
24th - 25th May 2019 | ||||||
Myanmar Universities’ Research Conference | ||||||
Yangon |