Topic Classification Using the Long Short-Term Memory (LSTM) Method with FastText Feature Expansion on Twitter-Reference-Cited by-同舟云学术

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Topic Classification Using the Long Short-Term Memory (LSTM) Method with FastText Feature Expansion on Twitter

Published:2023-08-09 Issue: Volume: Page:
ISSN:
Container-title:2023 International Conference on Data Science and Its Applications (ICoDSA)
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Author:

Putri Bella Adriani¹,Setiawan Erwin Budi¹

Affiliation:

1. Telkom University,School of Computing,Bandung,Indonesia

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10275799/10276405/10277033.pdf?arnumber=10277033

Reference19 articles.

1. Feature Expansion with Word2Vec for Topic Classification with Gradient Boosted Decision Tree on Twitter

2. A Novel Active Learning Method Using SVM for Text Classification

3. Data Crawling Otomatis pada Twitter

4. Emotion Detection in Twitter Social Media Using Long Short-Term Memory (LSTM) and Fast Text

5. Deep feature weighting for naive Bayes and its application to text classification

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