Coupling topic modelling in opinion mining for social media analysis-Reference-Cited by-同舟云学术

Coupling topic modelling in opinion mining for social media analysis

Published:2017-08-23 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the International Conference on Web Intelligence
language:
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Author:

Zhou Xujuan¹,Tao Xiaohui¹,Rahman Md Mostafijur¹,Zhang Ji¹

Affiliation:

1. University of Southern Queensland, Australia

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3106426.3106459

Reference23 articles.

1. If you are happy and you know it... tweet

2. Michael I. Jordan; David M. Blei Andrew Y. Ng. 2003. Latent Dirichlet Allocation. Journal of Machine Learning Research 3(1) (2003) 993--1022. Michael I. Jordan; David M. Blei Andrew Y. Ng. 2003. Latent Dirichlet Allocation. Journal of Machine Learning Research 3(1) (2003) 993--1022.

3. Associations Between Exposure to and Expression of Negative Opinions About Human Papillomavirus Vaccines on Social Media: An Observational Study

4. Getting started with Topic Modeling and MALLET;Graham Shawn;The Programming Historian,2012

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