DocumentCode :
3703602
Title :
Sentiment analysis of Facebook data using Hadoop based open source technologies
Author :
Sudipto Shankar Dasgupta;Swaminathan Natarajan;Kiran Kumar Kaipa;Sujay Kumar Bhattacherjee;Arun Viswanathan
Author_Institution :
Infosys Ltd., Bangalore, India
fYear :
2015
Firstpage :
1
Lastpage :
3
Abstract :
As more and more enterprises are looking forward to leveraging the connected network of Facebook to capture inputs and feedback on their brands, it is becoming increasingly important to mine the unstructured information from Facebook. The recent advances in open source software technologies in the map reducing paradigm opens up a whole new opportunity for such advanced analytics. This paper illustrates the use of open source technologies for brand sentiment analysis from Facebook data.
Keywords :
"Facebook","Sparks","Sentiment analysis","Dictionaries","Uniform resource locators","Media","Fault tolerance"
Publisher :
ieee
Conference_Titel :
Data Science and Advanced Analytics (DSAA), 2015. 36678 2015. IEEE International Conference on
Print_ISBN :
978-1-4673-8272-4
Type :
conf
DOI :
10.1109/DSAA.2015.7344883
Filename :
7344883
Link To Document :
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