BibTeX:

@article{IJIRSTV1I9051,
     title={A Study on Sentiment Analysis using Tweeter data},
     author={Dr. H S Guruprasad, Suprajha S, Yogitha C and Architha J Sanghvi},
     journal={International Journal for Innovative Research in Science & Technology},
     volume={1},
     number={9},
     pages={213--218},
     year={},
     url={http://www.ijirst.org/articles/IJIRSTV1I9051.pdf},
     publisher={IJIRST (International Journal for Innovative Research in Science & Technology)},
}

Twitter is a popular micro blogging service where users create status messages (called “tweets”). Tweets are short messages with a maximum length of 140 characters. The distinguishing characteristics of tweets are hashtags. Hashtags are used for logically grouping tweets and searching them. Authors of those messages write about their life, share opinions on variety of topics and discuss current issues. As more and more users post about products and services they use, or express their political and religious views, micro blogging websites become valuable sources of people’s opinions and sentiments. Such data can be efficiently used for marketing or social studies. As a result, there has been a tremendous need to design methods and algorithms which can effectively process a wide variety of text applications.

Tweeter, Sentiment Analysis, Text Data, Classifier