Sentiment Analysis Of Indonesian Homosexual Tweets Using Support Vector Machine Method

Sentiment analysis is Natural Language Processing in the form of processing sentiments of words and sentences that are used to determine the polarity of the word or sentence. Twitter became social media with the highest spread of pornographic content. This condition makes Twitter as a suitable objec...

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Bibliographic Details
Published in:	2019 International Conference on Computer Science, Information Technology, and Electrical Engineering (ICOMITEE) pp. 183 - 186
Main Authors:	Makhmudah, Umroh, Bukhori, Saiful, Putra, Januar Adi, Yudha, Bratasena Anggabayu Bhirawa
Format:	Conference Proceeding
Language:	English
Published:	IEEE 01-10-2019
Subjects:	Data models Feature extraction Machine Learning Natural Language Processing Predictive models Sentiment analysis Support Vector Machine Support vector machines Text Mining Twitter
Online Access:	Get full text
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Summary:	Sentiment analysis is Natural Language Processing in the form of processing sentiments of words and sentences that are used to determine the polarity of the word or sentence. Twitter became social media with the highest spread of pornographic content. This condition makes Twitter as a suitable object for the process of analyzing the sentiments of tweets of homosexuals, one of which is the negative sentiment that has pornographic content. This research is expected to contribute to the government to be able to assist homosexuals and also provide information for the public so that they did not expose to harmful content about homosexuality that can found on social media twitter.
DOI:	10.1109/ICOMITEE.2019.8920940