A review of data from Twitter sentiment analysis using Hadoop
Publish Year: 1396
Type: Conference paper
Language: English
View: 670
- Certificate
- I'm the author of the paper
این Paper در بخشهای موضوعی زیر دسته بندی شده است:
Export:
Document National Code:
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.
A review of data from Twitter sentiment analysis using Hadoop Keywords:
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