شماره ركورد كنفرانس :
3299
عنوان مقاله :
A review of data from Twitter sentiment analysis using Hadoop
Author/Authors :
Hamid Reza Abbasi Department of Electrical and Electronic Engineering - Pasargad Education Insttude, Shiraz , Mahnaz Abbasi Department of Electrical and Computer Engineering - Apadana Education Insttude, Shiraz
كليدواژه :
polarity , tweet , twitter , opinion , Sentiment analysis
سال انتشار :
شهريور 1396
عنوان كنفرانس :
اولين كنفرانس بين المللي فناوري هاي نوين در علوم
زبان مدرك :
انگليسي
چكيده لاتين :
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.
كشور :
ايران
تعداد صفحه 2 :
6
از صفحه :
1
تا صفحه :
6
لينک به اين مدرک :
بازگشت