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A review of data from Twitter sentiment analysis using Hadoop

Publish Year: 1396
Type: Conference paper
Language: English
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CMTS01_045

Index date: 8 November 2017

A review of data from Twitter sentiment analysis using Hadoop abstract

Millions of users around the world their views on various aspects of daily life to share. Sentiment analysis process of identifying ideas in structured and unstructured data as well as identify the polarity of opinions is great. Microblogging websites like Twitter is a rich source for sentiment analysis. Analysis of an organization s views, quick and effective way to monitor how people feel about the brand, business, management and so on.As noted, Twitter is an online social networking site, contains large amounts of structured data, unstructured, semi-structured. Hadoop Ecosystem a distributed platform the most widely used parallel processing paradigm, as Map/Reduce is used. The extensive testing on real-world data sets to achieve accuracy comparable or even more of the techniques proposed is done.

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A review of data from Twitter sentiment analysis using Hadoop authors

Hamid Reza Abbasi

Best Graduate, Electronics Engineering (Master\'s degree)-Department of Electrical and Electronic Engineering, Shiraz, Iran

Mahnaz Abbasi

Best Graduate, Electronics Engineering (Master\'s degree)-Department of Electrical and Computer Engineering , Shiraz, Iran