Building a Twitter Sentiment Analysis System with Recurrent Neural Networks

This paper presents a sentiment analysis solution on tweets using Recurrent Neural Networks (RNNs). The method is can classifying tweets with an 80.74% accuracy rate, considering a binary task, after experimenting with 20 different design approaches. The solution integrates an attention mechanism ai...

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Detalles Bibliográficos
Autores principales: Nistor, Sergiu Cosmin, Moca, Mircea, Moldovan, Darie, Oprean, Delia Beatrice, Nistor, Răzvan Liviu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8037672/
https://www.ncbi.nlm.nih.gov/pubmed/33804900
http://dx.doi.org/10.3390/s21072266

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8037672/
https://www.ncbi.nlm.nih.gov/pubmed/33804900
http://dx.doi.org/10.3390/s21072266

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