Improving IndoBERT for Sentiment Analysis on Indonesian Stock Trader Slang Language-Reference-Cited by-同舟云学术

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Improving IndoBERT for Sentiment Analysis on Indonesian Stock Trader Slang Language

Published:2022-11-24 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE International Conference on Internet of Things and Intelligence Systems (IoTaIS)
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Author:

Fernandez Enrico¹,Anderies ¹,Winata Michael Gilbert¹,Fasya Fadly Haikal¹,Gunawan Alexander Agung Santoso¹

Affiliation:

1. Bina Nusantara University,School of Computer Science,Computer Science Department,Jakarta,Indonesia

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9975794/9975848/09975975.pdf?arnumber=9975975

Reference15 articles.

1. Efficacy of News Sentiment for Stock Market Prediction

2. Forecasting Price of Cryptocurrencies Using Tweets Sentiment Analysis

3. TELEKOM-NET: THE EMBEDDED BI-LSTM AND EXPERT KNOWLEDGE MODEL FOR STOCK FORECASTING AND SUGGESTION;anderies;ICIC Express Letters,2022

4. Dataset Indonesia untuk Analisis Sentimen

5. Improving Bi-LSTM Performance for Indonesian Sentiment Analysis Using Paragraph Vector

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Fine-Tuning IndoBERT Model for Big Five Personality Prediction from Indonesian Social Media;2023 International Seminar on Intelligent Technology and Its Applications (ISITIA);2023-07-26

2. The Importance of Context for Sentiment Analysis in Dialogues;IEEE Access;2023

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