Sentiment Analysis with Supervised Topic Modelling on Twitter Data Related to Indonesian Election 2024-Reference-Cited by-同舟云学术

Sentiment Analysis with Supervised Topic Modelling on Twitter Data Related to Indonesian Election 2024

Published:2023-10-04 Issue: Volume: Page:
ISSN:
Container-title:2023 International Conference on Computer, Control, Informatics and its Applications (IC3INA)
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Author:

Shaleha Siti¹,Saputri Ariyanti²,Wicaksana Haniif Mulya³

Affiliation:

1. Research Center for Data and Information Sciences Electronics and Informatics Research Organization, National Research and Innovation Agency (BRIN),Jakarta,Indonesia

2. Research Center for Pharmaceutical Ingredients and Traditional Medicine Research Organization for Health, National Research and Innovation Agency (BRIN),Jakarta,Indonesia

3. Information Technology Operation PT Artajasa Pembayaran Elektronis,Service Delivery and Test Lab.Dept,Jakarta,Indonesia

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10285704/10285730/10285800.pdf?arnumber=10285800

Reference23 articles.

1. Sentiment Analysis between VADER and EDA for the US Presidential Election 2020 on Twitter Datasets

2. A Sentiwordnet Strategy for Curriculum Learning in Sentiment Analysis

3. From R-squared to coefficient of model accuracy for assessing 'goodness-of-fits';onyutha;Geoscientific Model Development Discussions,2020

4. Twin labeled LDA: a supervised topic model for document classification

5. Exploring Sources of Satisfaction and Dissatisfaction in Airbnb Accommodation Using Unsupervised and Supervised Topic Modeling

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