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To Study, Analyze and predict the Diseases using Big Data

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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Year of Publication: 2017
Authors:
Archana Bakare, Rajesh Argiddi
10.5120/ijca2017913917

Archana Bakare and Rajesh Argiddi. To Study, Analyze and predict the Diseases using Big Data. International Journal of Computer Applications 165(7):17-19, May 2017. BibTeX

@article{10.5120/ijca2017913917,
	author = {Archana Bakare and Rajesh Argiddi},
	title = {To Study, Analyze and predict the Diseases using Big Data},
	journal = {International Journal of Computer Applications},
	issue_date = {May 2017},
	volume = {165},
	number = {7},
	month = {May},
	year = {2017},
	issn = {0975-8887},
	pages = {17-19},
	numpages = {3},
	url = {http://www.ijcaonline.org/archives/volume165/number7/27584-2017913917},
	doi = {10.5120/ijca2017913917},
	publisher = {Foundation of Computer Science (FCS), NY, USA},
	address = {New York, USA}
}

Abstract

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.

References

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Keywords

Data mining, social media, prediction.