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Sentiment analysis using semantic similarity and Hadoop MapReduce

Crossref DOI link: https://doi.org/10.1007/s10115-018-1212-z

Published Online: 2018-05-18

Published Print: 2019-05

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

Authors

Madani, Youness https://orcid.org/0000-0001-9363-7147
Erritali, Mohammed

Bengourram, Jamaa
License Information

Text and Data Mining valid from 2018-05-18
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Article History

Received: 18 December 2017

Revised: 4 April 2018

Accepted: 6 May 2018

First Online: 18 May 2018

Compliance with ethical standards

:

: The authors declare that they have no conflict of interest.

: In this article we present two new approaches for classifying the tweets, proposing two new methods based on the semantic similarity, the notions of IRS and Big Data. All authors read and approved the final manuscript.