• Pavithra Poovalingam
• J.Melba Rosalind

The medium of communication varies periodically due to the evolution of various social media applications. WhatsApp is one such application that is used for transferring variety of information in the form of text, audio, video and other compatible files. Nowadays, Schools and Colleges also make use of WhatsApp as the primary means of Communication. This project entitled, “Sentiment Classification Of WhatsApp Data Context And Topic Analysis Using R Tool” aims to analyze the WhatsApp group chat conversations of students and used to measure the effectiveness of WhatsApp for academic and non-academic purposes by categorizing the contexts according to the major topics. It is also used for measuring the polarity of each WhatsApp chat on their topic of interest. Student’s WhatsApp group chat conversations of Department of Computer Science, Lady Doak College is used for the analysis. This project will be really helpful to the department faculty for better understanding the Student’s topic of interest and the polarity of their sentiments. For student community, it reveals the context distribution among them on WhatsApp group chat conversations.

WhatsApp analysis, Topic modeling, Sentiment classification, LDA Algorithm, Unsupervised learning.

"Sentiment Classification of WhatsApp Data Context and Topic Analysis Using R Tool", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 5, page no.30-34, May-2019, Available :http://www.jetir.org/papers/JETIR1905006.pdf

"Sentiment Classification of WhatsApp Data Context and Topic Analysis Using R Tool", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 5, page no. pp30-34, May-2019, Available at : http://www.jetir.org/papers/JETIR1905006.pdf