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All Journal Jurnal Ilmu Komputer dan Informasi
Ery Permana Yudha
Institut Teknologi Sepuluh Nopember
Computer Science & IT

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TWEET CLASSIFICATION USING DEEP LEARNING ARCHITECTURE FOR CONCERT EVENT DETECTION Adenuar Purnomo; Ahmad Afiif Naufal; Ery Permana Yudha; Agus Zainal Arifin
Jurnal Ilmu Komputer dan Informasi Vol 13, No 2 (2020): Jurnal Ilmu Komputer dan Informasi (Journal of Computer Science and Information
Publisher : Faculty of Computer Science - Universitas Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (373.076 KB) | DOI: 10.21609/jiki.v13i2.815

Abstract

Twitter social media is used by millions of users to share stories about their lives. There are millions of tweets sent by Twitter users in a short amount of time. These tweets can contain information about an incident, complaints from Twitter users, and others. Finding information about events from existing tweets requires great effort. Therefore, this study proposed a system that can detect events based on tweets using the CNN-LSTM architecture. Based on the classification testing obtained precision results of 70.97%, and recall amounted to 63.76%. The results obtained are good enough as a first step to detect events on Twitter.
Co-Authors Adenuar Purnomo Agus Zainal Arifin Ahmad Afiif Naufal