Enriched LDA (ELDA): Combination of latent Dirichlet allocation with word co-occurrence analysis for aspect extraction-Reference-Cited by-同舟云学术

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Enriched LDA (ELDA): Combination of latent Dirichlet allocation with word co-occurrence analysis for aspect extraction

Published:2017-09 Issue: Volume:80 Page:136-146
ISSN:0957-4174
Container-title:Expert Systems with Applications
language:en
Short-container-title:Expert Systems with Applications

Author:

Shams Mohammadreza,Baraani-Dastjerdi Ahmad

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference28 articles.

1. Aspect-Based Opinion Mining in Online Reviews;Abbasi Moghaddam,2013

2. Incorporating domain knowledge into topic modeling via Dirichlet Forest priors;Andrzejewski,2009

3. Latent dirichlet allocation;Blei;Journal of Machine Learning Research,2003

4. Reading tea leaves: How humans interpret topic models;Chang,2009

5. Mining topics in documents: Standing on the shoulders of big data;Chen,2014

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