Please use this identifier to cite or link to this item: http://hdl.handle.net/10419/161803
Authors: 
Hridoy, Syed Anwar
Ekram, M. Tahmid
Islam, Mohammad
Ahmed, Faysal
Rahman, Rashedur
Year of Publication: 
2015
Citation: 
[Journal:] Decision Analytics [ISSN:] 2193-8636 [Volume:] 2 [Year:] 2015 [Issue:] 1 [Pages:] 1-19
Abstract: 
Analysis of public information from social media could yield interesting results and insights into the world of public opinions about almost any product, service or personality. Social network data is one of the most effective and accurate indicators of public sentiment. In this paper we have discussed a methodology which allows utilization and interpretation of twitter data to determine public opinions. Analysis was done on tweets about the iPhone 6. Feature specific popularities and male-female specific analysis has been included. Mixed opinions were found but general consistency with outside reviews and comments was observed.
Subjects: 
Data mining
Natural language processing
SNLP
SentiWord
Rapid Miner
Persistent Identifier of the first edition: 
Creative Commons License: 
http://creativecommons.org/licenses/by/4.0/
Document Type: 
Article
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