Feature Expansion with Word2Vec for Topic Classification with Gradient Boosted Decision Tree on Twitter-Reference-Cited by-同舟云学术

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

Published:2022-07-06 Issue: Volume: Page:
ISSN:
Container-title:2022 International Conference on Data Science and Its Applications (ICoDSA)
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Author:

Maulidia Dhuhita Trias¹,Budi Setiawan Erwin¹

Affiliation:

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

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9862524/9862530/09862907.pdf?arnumber=9862907

Reference25 articles.

1. Short Text Classification Improved by Learning Multi-Granularity Topics;chen,0

2. Data Crawling Otomatis pada Twitter

3. Label-and-Learn

4. A research on the impact of pre-processing techniques in Spanish and english text classification over short and large text documents;orellana;Proceedings - 3rd International Conference on Information Systems and Computer Science INCISCOS 2018,2018

5. Review preprocessing using data cleaning and stemming technique;gharatkar;Proc 2017 Int Conf Innov Information Embed Commun Syst ICIIECS 2017,2018

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. Classification of Topics Using Bi-LSTM and CNN with the Feature Expansion on Twitter;2023 IEEE International Conference on Communication, Networks and Satellite (COMNETSAT);2023-11-23

2. Topic Classification Using the Long Short-Term Memory (LSTM) Method with FastText Feature Expansion on Twitter;2023 International Conference on Data Science and Its Applications (ICoDSA);2023-08-09

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