Sentimental Analysis of WhatsApp Chat

Registration ID: IJNRD_220720

Published ID: IJNRD2405121

DOI: Click Here to Get

Shivani Bhatt , Dipali Birajdar , Muskan Gupta , Sayali Kshirsagar , Prof. Dr. Ramchandra Pujeri

K-means Clustering Algorithm , Frontend using HTML, CSS, JavaScript , Personal and professional message segregation

In the digital age, the distinction between personal and professional communication is increasingly blurred, necessitating effective methods for categorizing messages across various platforms. This paper presents a comprehensive study on the application of sentiment analysis for categorizing messages into personal and professional domains. Leveraging natural language processing techniques, our research explores the development and implementation of a sentiment analysis framework capable of accurately discerning the emotional tone of text data. Through a meticulous research methodology encompassing data collection, preprocessing, feature extraction, model development, and evaluation, we demonstrate the efficacy of our approach in categorizing messages into business chats and professional chats. Our findings highlight the potential of sentiment analysis to enhance communication management, productivity, and user experience in digital environments. Additionally, ethical considerations such as privacy protection and bias mitigation are addressed to ensure the responsible deployment of sentiment analysis technologies. This research contributes to the advancement of automated message categorization systems, offering practical insights and methodologies for leveraging sentiment analysis in diverse communication contexts

Published Paper   E-Certificate

Shivani Bhatt, Dipali Birajdar , Muskan Gupta , Sayali Kshirsagar, & Prof. Dr. Ramchandra Pujeri (May-2024). Sentimental Analysis of WhatsApp Chat. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 9(5), b136-b142. https://ijnrd.org/papers/IJNRD2405121.pdf

Volume 9 Issue 5, May-2024

Pages : b136-b142

Paper Reg. ID: IJNRD_220720

Published Paper Id: IJNRD2405121

Downloads: 000121991

Research Area: Computer Engineering 

Country: Pune, Maharashtra, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2405121.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2405121

Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

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