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Real Time Text Mining on Twitter Data
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 178 - Number 3 |
| Year of Publication: 2017 |
| Authors: Shilpy Gandharv, Vivek Richhariya, Vineet Richhariya |
10.5120/ijca2017915779
|
Shilpy Gandharv, Vivek Richhariya, Vineet Richhariya . Real Time Text Mining on Twitter Data. International Journal of Computer Applications. 178, 3 ( Nov 2017), 24-28. DOI=10.5120/ijca2017915779
Abstract
Social media constitute a challenging new source of information for intelligence gathering and decision making. Twitter is one of the most popular social media sites and often becomes the primary source of information. Twitter messages are short and well suited for knowledge discovery. Twitter provides both researchers and practitioners a free Application Programming Interface (API) which allows them to gather and analyse large data sets of tweets. Twitter information aren't solely tweet texts, as Twitter’s API provides a lot of info to perform attention-grabbing analysis studies. The paper concisely describes method of knowledge gathering and therefore the main areas of knowledge mining, information discovery and information visual image from Twitter information. In this paper we can create a twitter app from which we can fetch the real time twitter tweets on a particular topic and stored it into R and then we can apply several text mining steps on the tweets to pre-process the tweets text and than we can analyse the preprocess data by visualizing them.
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