Authors:
Thet Thet Aung, Sharo Paw, Hlaing Htake Khaung Tin

Addresses:
Faculty of Information Science, University of Computer Studies, Hinthada, Myanmar. Faculty of Information Science, University of Information Technology, Yangon, Myanmar. thetthetaung86.htd@gmail.com, sharopaw1417@gmail.com, hlainghtakekhaungtin@gmail.com.

Abstract:

This research portrays same-gender relationships in media, specifically through the drama series of BL (Boys’ Love) and GL (Girls’ Love). Entertainment companies from Thailand, Taiwan, South Korea, Japan, and Vietnam are prominent producers of these series for the global market. While Thai BL dramas have been produced since 2014, they achieved significant popularity and recognition starting in 2017. The proposed system collects user review comments on the BL drama series produced by four countries from 2014 to June 2023. These reviews are compiled into a dataset named H/BL page via Facebook. The dataset comprises 276 series collected from two websites: Dramatist and BLWatcher. Sentiment analysis is utilized to classify user opinions and emotions related to these BL drama series. This technique identifies phrases and emotions within the text, categorizing them as objective (factual), positive (indicating happiness and satisfaction), or negative (indicating unhappiness, disappointment, or rejection) using the Information Gain (IG) method. The system aims to classify opinions on BL drama series and assess public sentiment towards same-gender love.

Keywords: Domain BL Drama Series; Facebook with Review Comments; Opinion Mining; Sentiment Analysis; Information Gain (IG); Natural Language Processing (NLP); Machine Learning; Preprocessing Positive; Negative and Neural.

Received on: 31/12/2023, Revised on: 01/03/2024, Accepted on: 20/04/2024, Published on: 09/06/2024

DOI: 10.69888/FTSCL.2024.000184

FMDB Transactions on Sustainable Computer Letters, 2024 Vol. 2 No. 2, Pages: 99-110

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