Sentiment analysis approach based on machine learning of latent semantics from textual (unstructured) data

Hammou Fadili

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Sentiment analysis approach based on machine learning of latent semantics from textual (unstructured) data

Hammou Fadili ¹

1 CEDRIC - ISID - CEDRIC. Ingénierie des Systèmes d'Information et de Décision

CEDRIC - Centre d'études et de recherche en informatique et communications

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Other publications

Domain :

Computer Science [cs] / Artificial Intelligence [cs.AI]

Computer Science [cs] / Neural and Evolutionary Computing [cs.NE]

Computer Science [cs] / Document and Text Processing

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https://hal-cnam.archives-ouvertes.fr/hal-02555253
Contributor : Hammou Fadili Connect in order to contact the contributor
Submitted on : Monday, April 27, 2020 - 10:54:47 AM
Last modification on : Wednesday, April 29, 2020 - 1:23:39 AM

Sentiment analysis approach based on machine learning of latent semantics from textual (unstructured) data

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Sentiment analysis approach based on machine learning of latent semantics from textual (unstructured) data

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