i-manager Publications

Sentiment Analysis for Whatsapp using NLP

Charles Ngalawa*

DMI St. John the Baptist Unversity, Lilongwe, Malawi.

Periodicity:January - March'2025
DOI : https://doi.org/10.26634/jcom.12.4.21307

Abstract

Sentiment analysis enables quick assessment of sentence content, allowing for easy identification of the emotional tone or polarity of text. Whether applied to social media comments, product reviews, or other forms of text data, it serves as a valuable tool. This paper focuses on developing a sentiment analysis system specifically tailored to the unique characteristics of WhatsApp data. The system employs machine learning and deep learning techniques to analyze the sentiment of text messages, detecting positive, negative, or neutral tones. The analysis helps in understanding user behavior, emotional patterns, and communication trends in various contexts, such as personal interactions, social groups, or customer service.

Keywords

Sentiment Analysis, Machine Learning, Opinion Mining, Tokenization, Emotion Detection.

How to Cite this Article?

Ngalawa, C. (2025). Sentiment Analysis for Whatsapp using NLP. i-manager’s Journal on Computer Science, 12(4), 24-28. https://doi.org/10.26634/jcom.12.4.21307

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	North Americas,UK, Middle East,Europe		India	Rest of world
	USD	EUR	INR	USD-ROW
Pdf	35	35	200	20
Online	15	15	200	15
Pdf & Online	35	35	400	25

Sentiment Analysis for Whatsapp using NLP

Abstract

Keywords

How to Cite this Article?

References

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