REVIEW OF SENTIMENT ANALYSIS ON TWITTER DATA USING PYTHON

As we are aware of the social media is usually preferred to share their view towards an object, event. Social networking sites are very beneficial for organization for their business purpose. As people share their opinion about their product and service. Also customer want to know about existing use...

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Bibliographic Details
Published in:International journal of advanced research in computer science 2017-11, Vol.8 (9), p.284-286
Main Author: Deshpande, Prajakta
Format: Article
Language:English
Subjects:
Business
Customer services
Data mining
Digital media
Sentiment analysis
Social networks
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Summary:As we are aware of the social media is usually preferred to share their view towards an object, event. Social networking sites are very beneficial for organization for their business purpose. As people share their opinion about their product and service. Also customer want to know about existing user before they purchase that product. Form that data we can get the data on that data we can do processing and such processed data is used for sentiment analysis. It is very useful for business analysis, production, quality, sales. Processing such twitter or social media data is very challenging task but gaining knowledge from data represents business and benefits regarding product. In this paper we have tried to analyze opinion mining, Advantages, scope of data mining and tools required for it.
ISSN:0976-5697
0976-5697
DOI:10.26483/ijarcs.v8i9.4956