• Vikrant Waghmare
• Mahesh Pimpalkar
• Vaishali Londhe

Ubiquitous presence of internet, advent of web 2.0 has made social media tools like blogs, Facebook, Twitter very popular and effective. People interact with each other, share their ideas, opinions, interests and personal information. These user comments are used for finding the sentiments and also add financial, commercial and social values. However, due to the enormous amount of user generated data, it is an expensive process to analyze the data manually. Increase in activity of opinion mining and sentiment analysis, challenges are getting added every day. There is a need for automated analysis techniques to extract sentiments and opinions conveyed in the user comments. Sentiment analysis is the automated process of understanding an opinion about a given subject from written or spoken language. In a world where we generate 2.5 quintillion bytes of data every day, sentiment analysis has become a key tool for making sense of that data. This has allowed companies to get key insights and automate all kind of processes.

Ubiquitous, machine learning; opining mining; sentiment analysis; sentiment classification

"Automated analysis techniques to extract sentiments and opinions conveyed in the user comments on social media.", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 12, page no.40-45, December-2018, Available :http://www.jetir.org/papers/JETIR1812A07.pdf

"Automated analysis techniques to extract sentiments and opinions conveyed in the user comments on social media.", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 12, page no. pp40-45, December-2018, Available at : http://www.jetir.org/papers/JETIR1812A07.pdf