Authors: Sanjana Bhandare, Ajinkya Pokharkar, Prerna Bhandare, Dnyaneshwar Chaudhari, Dr. Manisha Wasnik
Abstract: In this era of the most popular social networking, Twitter has many users who express their thoughts in the form of tweets. This paper presents an idea to extract sentiments from tweets and a method to classify tweets as good, bad or neutral. This approach is beneficial in many ways for all organizations mentioned or tagged in a tweet. Generally speaking, tweets are in unstructured format and tweets need to be converted into structure first. In this paper, tweets are analyzed using predefined steps and accessed by the library using Twitter API. The data needs to be learned using algorithms that allow it to test tweets and extract the desired information from given tweets.
