Name
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. |
Year | Venue | Keywords |
|---|---|---|
2015 | PROCEEDINGS OF THE 2015 IEEE INTERNATIONAL CONFERENCE ON DATA SCIENCE AND ADVANCED ANALYTICS (IEEE DSAA 2015) | Open Source Big Data Platform, Social Media Sentiment Analysis, Spark, R |
Field | DocType | Citations |
World Wide Web,Sentiment analysis,Computer science,Fault tolerance,Analytics,Open source software | Conference | 1 |
PageRank | References | Authors |
0.35 | 6 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Sudipto Shankar Dasgupta | 1 | 1 | 1.02 |
| Swaminathan Natarajan | 2 | 229 | 67.14 |
| Kiran Kumar Kaipa | 3 | 1 | 0.35 |
| Sujay Kumar Bhattacherjee | 4 | 1 | 0.35 |
| Arun Viswanathan | 5 | 1 | 0.35 |