• Tanisha Dilip Jadhav
• Sayali bamne
• Rani mourya
• Poonam Narkhede

With reference to this document; it specifically mentions the detail of the project how it was developed, the primary requirement as well as various feature and functionalities of the project and the procedure followed in achieving this functionality .As inter data is growing tremendously, we need to focus of getting maximum out of it .this can achieve if we extract information from it . in this paper Natural Language Processing(NLP) for sentiment analysis ,abuse analysis and question answering .Also, sentiment analysis use for getting masses option on some idea or company’s product .This paper has achieved an automatic question answering system support asking question in natural language and has some reference value in other area. Due to huge number of users and data it is not possible to check all comments in social network. We propose a pluggable architecture with reusable components ,able to detect harmful comments.

Features, Toolkit , Sentiment Analysis , Abuse Analysis, Natural Language Processing.

"Natural Language Processing Toolkit for Sentiment Analysis,Abuse Analysis and Question Answering System", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 5, page no.a736-a740, May-2021, Available :http://www.jetir.org/papers/JETIR2105094.pdf

"Natural Language Processing Toolkit for Sentiment Analysis,Abuse Analysis and Question Answering System", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 5, page no. ppa736-a740, May-2021, Available at : http://www.jetir.org/papers/JETIR2105094.pdf