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An investigation into the deep learning approach in sentimental analysis using graph-based theories
Sentiment analysis is a branch of natural language analytics that aims to correlate what is expressed which comes normally within unstructured format with what is believed and learnt. Several attempts have tried to address this gap (i.e., Naive Bayes, RNN, LSTM, word embedding, etc.), even though th...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Public Library of Science
2021
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8638889/ https://www.ncbi.nlm.nih.gov/pubmed/34855856 http://dx.doi.org/10.1371/journal.pone.0260761 |