Spatial and Sentimental Analysis for Trending Information Technology

Sagar R Pradhan; Abhay R Kasetwar; Sanjay L Badjate

doi:10.18090/samriddhi.v14spli01.18

Sagar R Pradhan Department of Electronics and Telecommunication Engineering, S. B. Jain Institute of Technology, Management and Research, Nagpur, India
Abhay R Kasetwar Department of Electronics and Telecommunication Engineering, S. B. Jain Institute of Technology, Management and Research, Nagpur, India.
Sanjay L Badjate Department of Electronics and Telecommunication Engineering, S. B. Jain Institute of Technology, Management and Research, Nagpur, India.

DOI: https://doi.org/10.18090/samriddhi.v14spli01.18

Keywords: Apache-Flume, Big data, Information Technology, Spark, Structured data and Unstructured data.

Abstract

The users are using Twitter to articulate their opinion. Testimony states that twitter has more than 32.1 crore monthly active user with 10 crore users posting 35 crore of tweets on daily basis. Hence micro-blogging web-sites are a rich originator of data for spatial mining. We performed analysis on trending IT technology. The studies will try to beautify an analytical framework to remove and visualize established and free twitter facts. The projected background contains actual time facts consumption, incessant processing, and facts prophecy factors with Apache-Flume and Spark.

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