شماره ركورد كنفرانس :
4671
عنوان مقاله :
A review of data from Twitter sentiment analysis using Hadoop
پديدآورندگان :
Abbasi Hamid Reza Abbasi.ahr@gmail.com Department of Electrical and Electronic Engineering, Pasargad Education Insttude, Shiraz, Iran , Abbasi Mahnaz m.abbasi.1390@gmail.com Department of Electrical and Computer Engineering, Apadana Education Insttude, Shiraz, Iran
كليدواژه :
Hadoop , Sentiment analysis , opinion , twitter , tweet , polarity.
عنوان كنفرانس :
اولين كنفرانس بين المللي فناوري هاي نوين در علوم
چكيده فارسي :
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.