Every seconds, large volume of useful data created in social media about the varius kind of online purchases and in another forms reviews. Particularly, purchased items review data is enormously growing in different database repositories. Most of the data are useful for the new customers as well as existing companies. Data Mining and Machine Leaning techniques are familier to analyse such kind of data to visualise and know the potemtial use of the purchased items through online. The customers are making quality of products through thier sentiments about the purchased equipments. This reseearch work is going to analyse sentiments of Headphone review data, which is collected from online repositories. For the analysis of Headphone review data, some of the Machine Learning techniques like Support Vector Machines, Naive Bayes and Random Forest Algorithms are applied to find the quality via the customers sentiments. The accurasy and performance of the taken algorithms are also analysed based on the three types of sentiments such as positive, nagative and nuetral.

Dr. T. Velmurugan is working as an Associate Professor in the PG and Research Department of Computer Science and Applications, Dwaraka Doss Goverdhan Doss Vaishnav College, Chennai-600106, India. He elected as a Member-Syndicate, University of Madras. He holds a Ph.D. degree in Computer Science from the University of Madras. He has 30 years of teaching experience. He guided more than 300 M.Phil., Research Scholars. Also, he guided 25 Ph.D. scholars and currently guiding 6 Ph.D. scholars. He has published more than 200 articles in SCOPUS and SCI indexed journals. He elected and served as a Senate Member from Academic Council, University of Madras. He has a lot of administrative experiences. He served as advisory board member to many academic institutions in and around Tamil Nadu, India. He was an invited speaker and keynote speaker for many international conferences around the world. He served as a nominated Senate Member in the Middle East University, Dubai, UAE for a period of three years. He is a member in Board of studies for many autonomous institutions and Universities. Also, he organized international Conferences and workshops. In addition, he was a resource person for various national workshops entitled "Scientific Research Article Writing and Journal Publications" and many of the recent topics in Computer Science. He is an Editorial Board Member of 10 International Journals. He also a reviewer in many peer reviewed journals like Elsevier, Springer, IEEE and IOSPress Journals etc. He is the Chair person for the Government of Tamil Nadu State for XII standard book titled as “Electronics and Hardwares”. Further, he is a visiting faculty for M.Phil., Course for various universities throughout India. His H index is 23 and i10 index is 31. His area of specialization includes Data Mining, Artificial Intelligence, Machine Learning, Network Security, Big Data Analytics, Data Science and etc.