SENTIMENTAL ANALYSIS WITH BIGDATA USING HADOOP

International Journal of Computer Science (IJCS Journal) Published by SK Research Group of Companies (SKRGC) Scholarly Peer Reviewed Research Journals

Format: Volume 3, Issue 1, No 5, 2015.

Copyright: All Rights Reserved ©2015

Year of Publication: 2015

Author: Stud. C. BalajiKiran,Prof. A.T. Ravi

Reference:IJCS-091

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Abstract

Big data is the term for a collection of data sets which are large and complex, it contain structured and unstructured both type of data. Data comes from everywhere, sensors used to gather climate information, posts to social media sites, digital pictures and videos etc. This data is known as big data. The proliferation of textual data in business is overwhelming. Unstructured textual data is being constantly generated via call center logs, emails, documents on the web, blogs, tweets, customer comments, customer reviews, and so on. While the amount of textual data is increasing rapidly, businesses’ ability to summarize, understand, and make sense of such data for making better business decisions remain challenging. This paper takes a quick look at how to organize and analyze textual data for extracting insightful customer intelligence from a large collection of documents and for using such information to improve business operations and performance.

References

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Keywords

Big Data, Hadoop, Sentimental Analysis

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