Sentiment analysis using long short term memory and amended dwarf mongoose optimization algorithm

The use of machine learning to analyze sentiments has attained considerable interest in the past few years. The task of analyzing sentiments has becfigome increasingly important and challenging. Due to the specific attributes of this type of data, including length of text, spelling errors, and abbre...

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Veröffentlicht in:	Scientific reports Jg. 15; H. 1; S. 17206 - 19
Hauptverfasser:	Deng, Haisheng, Alkhayyat, Ahmed
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	London Nature Publishing Group UK 17.05.2025 Nature Publishing Group Nature Portfolio
Schlagworte:	639/166 639/4077 Algorithms Amended dwarf mongoose optimization (ADMO) algorithm Datasets Embedding GloVe Helogale parvula Humanities and Social Sciences Long short-term memory Long short-term memory (LSTM) Machine learning multidisciplinary Neural networks Science Science (multidisciplinary) Sentiment analysis Social networks Support vector machines Word2Vec Sentiment analysis GloVe Amended dwarf mongoose optimization (ADMO) algorithm Long short-term memory (LSTM) Word2Vec
ISSN:	2045-2322, 2045-2322
Online-Zugang:	Volltext
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