Machine Learning Algorithm for Sentiment Analysis in Twitter Data

Document Type : Primary Research paper


1 Research scholar, Department of computer science, Periyar University PG Extension centre, Dharmapuri.

2 Assistant Professor Department of computer science, Periyar University PG Extension centre, Dharmapuri.


Growth range of interpersonal communication destinations like twitter have a large number of individuals share their musings step by step as tweets. As tweet is trademark short and fundamental method for articulation. So right now, we concentrated on feeling investigation of Twitter information. The Notion Investigation sees as territory of content information excavating and NLP. The exploration of assessment investigation of Twitter information can be acted in various perspectives. Right now, we have taken near investigation of various strategies and approaches of supposition examination having twitter as a data, gathering general assessment by dissecting large social information has pulled in wide consideration because of its intelligent and ongoing nature. For this, ongoing investigations have depended on both internet-based life and feeling examination so as to join enormous occasions by following individuals' conduct. The proposed approach comprises of first building a unique word reference of words' extremity dependent on a chose set of hashtags identified with a given subject, at that point, characterizing the tweets under a few classes by presenting new highlights that unequivocally calibrate the extremity level of a post. To approve our methodology, we arranged the tweets identified with the 2016 US political race. The after effects of model tests have played out a decent exactness in recognizing like and unlike process of subroutine methods.