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A New Framework for Multilingual Sentiment Analysis in Natural Language Processing Using a Pre-trained BERT Model Supported by Multi-class Machine Learning Methods

2026-06-15

Abstract excerpt

<title>Abstract</title> <p>Sentiment analysis, a central application of Natural Language Processing (NLP), identifies emotions and opinions in text. Accurate interpretation requires accounting for linguistic and cultural variations across languages. Considering text as a signal and given the cyclostationarity of most human-constructed signals, we sought to enhance sentiment analysis of human-written notes by extr...

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Literature Corpus work
21cf8420-e5f8-56af-96b3-a7f5259e8225
DOI
10.21203/rs.3.rs-9734879/v1
Open publication

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A New Framework for Multilingual Sentiment Analysis in Natural Language Processing Using a Pre-trained BERT Model Supported by Multi-class Machine Learning MethodsDOI 10.21203/rs.3.rs-9734879/v1
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