TY  - JOUR
TI  - Intelligence Approaches for Sentimental Analysis in Social Networks : A Survey
AU  - Karthik R. V.
AU  -  S. Ganapathy
JO  - International Journal of Scientific Research in Computer Science, Engineering and Information Technology
PB  - Technoscience Academy
DA  - 2018/02/28
PY  - 2018
DO  - https://doi.org/10.32628/IJSRCSEIT
UR  - https://ijsrcseit.com/CSEIT1831363
VL  - 3
IS  - 1
SP  - 1625	
EP  - 1631
AB  - Social network occupies an important place and also takes a considerable amount of time in people's daily lives.  It has become so popular that people are sharing a huge amount of data and opinion on social network/review sites which in turn helps to find interesting insights for organizations/ vendors or consumers. In this Survey paper, we have presented the researches done in the area of Sentimental analysis / Opinion mining from Social network data. We also documented the outcome of comparative analysis, followed by our future work in Online product recommendations with help of Sentiment analysis.