Improving the Accuracy in Sentiment Classification in the Light of Modelling the Latent Semantic Relations

Improving the Accuracy in Sentiment Classification in the Light of Modelling the Latent Semantic Relations

The research presents the methodology of improving the accuracy in sentiment classification in the light of modelling the latent semantic relations (LSR). The objective of this methodology is to find ways of eliminating the limitations of the discriminant and probabilistic methods for LSR revealing...

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Bibliographic Details
Main Authors: Nina Rizun, Yurii Taranenko, Wojciech Waloszek
Format: Article
Language:English
Published: MDPI AG 2018-12-01
Series:Information
Subjects:
sentiment classification
topic modelling
Latent Semantic Analysis
Latent Dirichlet Allocation
hierarchical sentiment dictionary
contextually-oriented hierarchical corpus
text tonality
accuracy
Online Access:https://www.mdpi.com/2078-2489/9/12/307

Internet

https://www.mdpi.com/2078-2489/9/12/307

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