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Sujala D. Shetty
Birla Institute of Technology and Science (BITS) Pilani, Dubai Campus, United Arab Emirates
Computer Science & IT Electrical & Electronics Engineering

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Streaming Big Data Analysis for Real-Time Sentiment based Targeted Advertising Lekha R. Nair; Sujala D. Shetty; Siddhant Deepak Shetty
International Journal of Electrical and Computer Engineering (IJECE) Vol 7, No 1: February 2017
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (207.985 KB) | DOI: 10.11591/ijece.v7i1.pp402-407

Abstract

Big Data constituting from the information shared in the various social network sites have great relevance for research to be applied in diverse fields like marketing, politics, health or disaster management. Social network sites like Facebook and Twitter are now extensively used for conducting business, marketing products and services and collecting opinions and feedbacks regarding the same. Since data gathered from these sites regarding a product/brand are up-to-date and are mostly supplied voluntarily, it tends to be more realistic, massive and reflects the general public opinion. Its analysis on real time can lead to accurate insights and responding to the results sooner is undoubtedly advantageous than responding later.  In this paper, a cloud based system for real time targeted advertising based on tweet sentiment analysis is designed and implemented using the big data processing engine Apache Spark, utilizing its streaming library. Application is meant to promote cross selling and provide better customer support.
Co-Authors Lekha R. Nair Siddhant Deepak Shetty