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T. Quan

4 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • last author4

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CL3
  • cs.IR1
same name
  • T. Quan — 3 papers, h 16
  • T. Quan — 1 paper

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

most citedTowards Autoencoding Variational Inference for Aspect-based Opinion Summary

9 citations · 9 across the 1 of their papers we have counts for

collaborators

4 papers

cs.CL2019

Combination of Domain Knowledge and Deep Learning for Sentiment Analysis of Short and Informal Messages on Social Media

Khuong Vo, Tri Nguyen, Dang Pham +4

Sentiment analysis has been emerging recently as one of the major natural language processing (NLP) tasks in many applications. Especially, as social media channels (e.g. social ne…

cs.CL2019★ 9 cited

Towards Autoencoding Variational Inference for Aspect-based Opinion Summary

Tai Hoang, Huy Le, Tho Quan

Aspect-based Opinion Summary (AOS), consisting of aspect discovery and sentiment classification steps, has recently been emerging as one of the most crucial data mining tasks in e-…

cs.IR2018

Semantic Document Clustering on Named Entity Features

Tru H. Cao, Vuong M. Ngo, Dung T. Hong +1

Keyword-based information processing has limitations due to simple treatment of words. In this paper, we introduce named entities as objectives into document clustering, which are…

cs.CL2018

Combination of Domain Knowledge and Deep Learning for Sentiment Analysis

Khuong Vo, Dang Pham, Mao Nguyen +2

The emerging technique of deep learning has been widely applied in many different areas. However, when adopted in a certain specific domain, this technique should be combined with…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.