A review of data from Twitter sentiment analysis using Hadoop
محل انتشار: اولین کنفرانس بین المللی فناوری های نوین در علوم
سال انتشار: 1396
نوع سند: مقاله کنفرانسی
زبان: انگلیسی
مشاهده: 662
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شناسه ملی سند علمی:
CMTS01_045
تاریخ نمایه سازی: 17 آبان 1396
چکیده مقاله:
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.
نویسندگان
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