Complexity Matrices in Twitter Sentiment Analysis of Thoughts on Mobile Games Using Machine Learning Algorithms

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Kına E., Özdağ R.

Muş Alparslan Üniversitesi Mühendislik-mimarlık Fakültesi Dergisi, vol.2, no.2, pp.91-100, 2021 (Peer-Reviewed Journal)

  • Publication Type: Article / Article
  • Volume: 2 Issue: 2
  • Publication Date: 2021
  • Journal Name: Muş Alparslan Üniversitesi Mühendislik-mimarlık Fakültesi Dergisi
  • Journal Indexes: Other Indexes
  • Page Numbers: pp.91-100


In modern times, people have started sharing their opinions, thoughts and feelings with other people through social media. The growing number of social media users and their share in it has naturally drawn the attention of researchers to this field. Twitter is one of the leading data sources in this field. Since Twitter has millions of users from different cultures and classes, it is possible to collect comments in different languages and content. Tweets that people write and share in 280 characters are used for research and analysis. Considering the fact that not all tweets can be read by people, in this study, sentiment analysis was performed using naive bayes (NB) classification algorithm and multilayer artificial neural networks (ML-ANN) based on the content of comments on mobile games. As a result of the analysis, it was found that multilayer artificial neural networks gave better results than the other methods on both training and test data.