Localized twitter opinion mining using sentiment analysis

Artikel

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.

Object Details

• Language: Englisch

References and Relationships

• Bibliographic citation: Journal: Decision Analytics ; ISSN: 2193-8636 ; Volume: 2 ; Year: 2015 ; Issue: 1 ; Pages: 1-19 ; Heidelberg: Springer

Classification and Topics

• Classification: Wirtschaft
• Subject: Data mining ; Natural language processing ; SNLP ; SentiWord ; Rapid Miner

Contributors, Places and Time

• Event: Geistige Schöpfung
• (who): Hridoy, Syed Anwar ; Ekram, M. Tahmid ; Islam, Mohammad ; Ahmed, Faysal ; Rahman, Rashedur
• Event: Veröffentlichung
• (who): Springer
• (where): Heidelberg
• (when): 2015

Further information

• DOI: doi:10.1186/s40165-015-0016-4
• Handle: http://hdl.handle.net/10419/161803
• Last update: 10.03.2025, 11:43 AM CET