Manuscript Number : CSEIT1831363
Intelligence Approaches for Sentimental Analysis in Social Networks : A Survey
Authors(2) :-Karthik R. V., S. Ganapathy 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.
Karthik R. V. Social Network, Sentiment Analysis, User Reviews, Recommendation, Opinion. Try to solve the new Formula Cube! It works exactly like a Rubik's Cube but it is only $2, from China. Learn to solve it with the tutorial on rubiksplace.com or use the solver to calculate the solution in a few steps. (Please subscribe for a membership to stop adding promotional messages to the documents) Publication Details Published in : Volume 3 | Issue 1 | January-February 2018 Article Preview
School of Computing Science and Engineering, VIT University-Chennai Campus, Chennai, India
S. Ganapathy
School of Computing Science and Engineering, VIT University-Chennai Campus, Chennai, India
Date of Publication : 2018-02-28
License: This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 1625-1631
Manuscript Number : CSEIT1831363
Publisher : Technoscience Academy