• A.Angelpreethi
• Dr.S.Britto Ramesh Kumar

Due to the vast generation of online information, there are huge number of opportunities and challenges created for both consumers and internet users. Opinion Mining is the digital acknowledgement of public feelings, emotions, opinions and services. It is also helps individual users and business peoples and organizations to monitor the other people comment about a particular items, services, issue and topics. The objective of the paper is to feat the affluence of user opinions collected from micro blogging sites to analyse the semantic orientation of reviews by categorizing them into positive, negative classes to identify and classify negations and intensifiers along with slang words and emoticons.

Negations, Intensifiers, Slang Words, Emoticons, Opinion Mining.

"NIC_LBA: Negations and Intensifier Classification in microblog data using Lexicon Based Opinion Mining Approach ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.753-759, June 2019, Available :http://www.jetir.org/papers/JETIR1906R05.pdf

"NIC_LBA: Negations and Intensifier Classification in microblog data using Lexicon Based Opinion Mining Approach ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp753-759, June 2019, Available at : http://www.jetir.org/papers/JETIR1906R05.pdf