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

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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Bibliographic Details
Main Authors: Manjog Padhy, Umar Muhammad Modibbo, Rasmita Rautray, Subhranshu Sekhar Tripathy, Sujit Bebortta
Format: Article
Language:English
Published: MDPI AG 2024-10-01
Series:Algorithms
Subjects:
sentiment classification
Twitter sentiment analysis
word count vectorization
machine learning
Online Access:https://www.mdpi.com/1999-4893/17/11/486
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