Classification of Sentiment Analysis Against Omnibus Law on Twitter Social Media and News Websites Using the Naïve Bayes Method-Reference-Cited by-同舟云学术

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Classification of Sentiment Analysis Against Omnibus Law on Twitter Social Media and News Websites Using the Naïve Bayes Method

Published:2022-12-08 Issue: Volume: Page:
ISSN:
Container-title:2022 5th International Seminar on Research of Information Technology and Intelligent Systems (ISRITI)
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Author:

Setiawan Afdhal Syamdiwita¹,Nuha Hilal H.¹,Bawono Marastika Wicaksono Aji²

Affiliation:

1. Telkom University,Bandung,Indonesia

2. Telkom University,ITS Sepuluh November,Bandung,Indonesia

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10051846/10052791/10052796.pdf?arnumber=10052796

Reference19 articles.

1. . Twitter Naive Bayes Algorithm Implementation for Film Opinion Sentiment Analysis;ratnawati;Jurnal Inovtek Polbeng,2018

2. Opinion Mining System Implementation of Rule-Based Document Subjectivity;rozi;Paradigma-Jurnal Komputer dan Informatika,2013

3. Big Five Personality Type Prediction Based on User Behavior in Social Media Twitter Using the Naïve Bayes Method;amanda;Program Studi Sarjana Informatika Fakultas Informatika Universitas Telkom Bandung,2020

4. Classification of Spam Comments on Youtube Using the Naïve Bayes Method, Support Vector Machine, and K-Nearest Neighbors;burhanuddin;Jurnal Informatika dan Komputer,2018

5. The Naive Bayes Classifier Method was used to analyze community sentiment in the 2019 election based on Twitter opinions;asmara;Jurnal Inovtek Polbeng,2020

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