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September 10, 2025Jurnal Sisfokom (Sistem Informasi dan Komputer)Open Access

Analysis of Public Sentiment Towards LGBT on Twitter Social Media using Naïve Bayes Method

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Authors

YFYudhi FranataRRRizal RizalRSRizki Suwanda

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Overview

Analysis reveals negative sentiment towards LGBT topics on Twitter, indicating significant public concern.

Key Points

  • The study showed that negative sentiment towards LGBT issues was predominant on Twitter, highlighting societal challenges.
  • Analysis categorized tweets into three sentiment classes: positive, negative, and neutral, identifying key patterns in public opinion.
  • Data collected from Twitter underwent extensive preprocessing, including data cleaning and tokenization, to ensure accurate analysis.
  • While the Naïve Bayes model achieved a 57% accuracy in sentiment classification, further improvements could enhance its effectiveness.

Cite This Study

Franata et al. (2025) studied this question.

synapsesocial.com/papers/68c1a25354b1d3bfb60dce06https://doi.org/10.32736/sisfokom.v14i3.2400
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