Research Area: Machine Learning
The hype of sharing the thoughts, plans, opinions, sentiments, reviews what-so-ever comes in our mind on Social networking sites are increasing day by day and is at an all-time high. The data collected and made from this is enormous, and using them for analyzing, reviewing and as a guiding light by the calculative minds shows the advent of this era and the tremendous growth of technology. It also helps the industries, organizations in various forms. One of them is to gather the thoughts of the people globally, which is termed as opinion mining or sentimental analysis. This helps them to understand the market demand and help make the things consumers want and to separate the goods that are undesired or to fix a specific issue. It enables growth at a much higher pace. This study focuses on the literature done in the years 2015-2019 and will help the researchers and scholars to analyze the recent works in the field of Opinion mining.
Keywords:
Opinion Mining
Deep Learning
Sentiment Analysis
Neural Networks
Author(s) Name: Yshika Agarwal; Rahul Katarya; Dilip Kumar Sharma
Journal name:
Conferrence name: 2019 4th International Conference on Information Systems and Computer Networks (ISCON)
Publisher name: IEEE
DOI: 10.1109/ISCON47742.2019.9036187
Volume Information:
