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To Study, Analyze and predict the Diseases using Big Data
Author(s) -
Archana Bakare,
Rajesh V. Argiddi
Publication year - 2017
Publication title -
international journal of computer applications
Language(s) - English
Resource type - Journals
ISSN - 0975-8887
DOI - 10.5120/ijca2017913917
Subject(s) - computer science , big data , data science , data mining
As we know in today’s life Twitter, Facebook, Google plus are well known social media now that user can use this application for different purposes. Nowadays many people have many social accounts Twitter is an online news and social networking service where users post and interact with messages, "tweets," limited to 140 characters. Registered users can write tweets, but those who are unregistered can only read them. Users access Twitter through its website or a mobile device app. Twitter is one of the growing social site that people are using for connecting, sharing with each other. There is number of short text messages posted by many people called as tweets. It is very hard to do analysis of social media data which has large amount of noisy, informal text of tweet messages and stream data. General Terms K-means algorithm used for Classification,Multi-rank Algorithm for clustering.

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