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Twitter Stream Data Mine System
Author(s) -
David Ortiz-Puerta,
Haider Al Kim,
A. Kavitha,
Nipunika Vithana
Publication year - 2017
Publication title -
international journal of computer applications
Language(s) - English
Resource type - Journals
ISSN - 0975-8887
DOI - 10.5120/ijca2017914753
Subject(s) - computer science , data science , data mining , information retrieval , database , world wide web
Twitter is a popular social network where users can share short SMS-like messages called tweets. Users share thoughts, links and pictures on twitter, journalists comment on live events, companies promote products and engage with customers. In this research paper introducing a system to users a simple way to look for the tweets and system will give a overall percentage weather post is a positive or negative or neutral . When user search the person who have twitter account, User can see the first 100 tweets and it'll give the percentage with positive, negative and neutral with the emojis. This project based on naive based theory.

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