Application of Machine Learning Techniques to Classify Twitter Sentiments Using Vectorization Techniques

The advancements in social networking have empowered open expression on micro-blogging platforms like Twitter. Traditional Twitter Sentiment Analysis (TSA) faces challenges due to rule-based or dictionary algorithms, dealing with feature selection, ambiguity, sparse data, and language variations. Th...

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Autors principals:	Manjog Padhy, Umar Muhammad Modibbo, Rasmita Rautray, Subhranshu Sekhar Tripathy, Sujit Bebortta
Format:	Artigo
Idioma:	Inglês
Publicat:	MDPI AG 2024-10-01
Col·lecció:	Algorithms
Matèries:	sentiment classification Twitter sentiment analysis word count vectorization machine learning
Accés en línia:	https://www.mdpi.com/1999-4893/17/11/486
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