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A Robust User Sentiment Biterm Topic Mixture Model Based on User Aggregation Strategy to Avoid Data Sparsity for Short Text

Crossref DOI link: https://doi.org/10.1007/s10916-019-1225-5

Published Online: 2019-03-05

Published Print: 2019-04

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

K, Nimala

R, Jebakumar
License Information

Text and Data Mining valid from 2019-03-05
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Article History

Received: 8 January 2019

Accepted: 21 February 2019

First Online: 5 March 2019

Compliance with ethical standards

:

: The authors declare that this article content has no conflict of interest.

: This article does not contain any studies with human participants or animals performed by any of the authors.