An Overview of Topic Representation and Topic Modelling Methods for Short Texts and Long Corpus-Reference-Cited by-同舟云学术

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An Overview of Topic Representation and Topic Modelling Methods for Short Texts and Long Corpus

Published:2021-10-08 Issue: Volume: Page:
ISSN:
Container-title:2021 International Conference on Advancements in Electrical, Electronics, Communication, Computing and Automation (ICAECA)
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Author:

Yamunathangam D.¹,Priya C.Bharathi¹,Shobana G.²,Latha L.¹

Affiliation:

1. Kumaraguru College of Technology,Department of Computer Science,Coimbatore,India

2. Kumaraguru College of Technology,Department of Information science,Coimbatore,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9675453/9675477/09675579.pdf?arnumber=9675579

Reference34 articles.

1. Topic Modelling for Short Text;mazarura;Prasa Org,2014

2. Topic modeling, long texts and the best number of topics. Some Problems and solutions

3. Short text clustering based on Pitman-Yor process mixture model

4. Bag of Tricks for Efficient Text Classification

5. Indexing by latent semantic analysis

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1. Are Unsupervised Text Classification Techniques Sufficient for Categorizing Short Texts like Product Names?;Lecture Notes in Networks and Systems;2024

2. Comparative Study Analysis on News Articles Categorization using LSA and NMF Approaches;2022 13th International Conference on Computing Communication and Networking Technologies (ICCCNT);2022-10-03

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