Sentiment Analysis in Indonesian Trading using Lexicon-based and Support Vector Machine-Reference-Cited by-同舟云学术

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Sentiment Analysis in Indonesian Trading using Lexicon-based and Support Vector Machine

Published:2023-02-16 Issue: Volume: Page:
ISSN:
Container-title:2023 International Conference on Computer Science, Information Technology and Engineering (ICCoSITE)
language:
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Author:

Oetama Raymond Sunardi¹,Yanfi Yanfi²,Ikhsan Assiddiq U.P Masagus M.²,Muhamad Isa Sani³

Affiliation:

1. Universitas Multimedia Nusantara,Information System DepartmentFaculty of Engineering and Informatics,Jakarta,Indonesia

2. Bina Nusantara University,BINUS Graduate Program Computer Science School of Computer Science,Computer Science Department,Jakarta,Indonesia

3. Bina Nusantara University,BINUS Graduate Program Computer Science,Computer Science Department,Jakarta,Indonesia

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10127649/10127667/10127736.pdf?arnumber=10127736

Reference29 articles.

1. Data Mining: Concepts and Techniques;han;Data Mining Concepts and Techniques,2012

2. Exploring Unclassified Texts Using Multiview Semisupervised Learning

3. Cyberbullying Sentiment Analysis with Word2Vec and One-Against-All Support Vector Machine

4. Indonesia China Trade Relations, Social Media and Sentiment Analysis: Insight from Text Mining Technique

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