Sentiment analysis of Facebook data using Hadoop based open source technologies
SS Dasgupta, S Natarajan, KK Kaipa… - … conference on data …, 2015 - ieeexplore.ieee.org
SS Dasgupta, S Natarajan, KK Kaipa, SK Bhattacherjee, A Viswanathan
2015 IEEE international conference on data science and advanced …, 2015•ieeexplore.ieee.orgAs 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.
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.
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.
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