Twitter Data Analysis using R
Jaichandran. R1, Karthik. K2, S.Rajaprakash3, H. Dhrithimanth Prabhu4, Yerasani Aditya Gowtham5
1R.jaichandran S , Dept. of Computer Science and Technology, Aarupadai Veedu Institute of Technology, Vinayaka Missions Research Foundation Chennai, India.
2K. Karthik, Dept. of Computer Science and Technology, Aarupadai Veedu Institute of Technology, Vinayaka Missions Research Foundation Chennai, India.
3S.Rajaprakash, Dept. of Computer Science and Technology, Aarupadai Veedu Institute of Technology, Vinayaka Missions Research Foundation Chennai, India.
4Yerasani Aditya Gowtham Final year CSE, Aarupadai Veedu Institute of Technology, Vinayaka Missions Research Foundation Chennai, India.
5H.Dhrithimanth Prabhu H Final year CSE, Aarupadai Veedu Institute of Technology, Vinayaka Missions Research Foundation Chennai, India.
Manuscript received on November 19, 2019. | Revised Manuscript received on November 29 2019. | Manuscript published on 30 November, 2019. | PP: 9159-9162 | Volume-8 Issue-4, November 2019. | Retrieval Number: D9021118419/2019©BEIESP | DOI: 10.35940/ijrte.D9021.118419
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Big Data is an emerging concept in the field of Data mining. It has numerous applications in real life. Most data are coming from social media networking Websites comprising of structured and unstructured data including Text, video, images etc. The main characteristics can be understood by five v’s. Twitter is one among the major evolving social media. Twitter Data analysis can be give you a wide perspective of public opinion regarding any product, public opinion etc which can be used to mine the knowledge from the data. For example, prediction analysis, product review, favourite among people tweets about GST (Goods and service tax).
Keywords: Big data; twitter, R-studio, GST.
Scope of the Article: Big Data Analytics.