1. Comparative study of deep learning based sentimental analysis with other existence techniques

Authors : Seema Choudhary, Sandeep Bhargava

Pages : 20-31

DOI : http://dx.doi.org/10.21172/1.841.04

Keywords : sentiment analysis, machine learning techniques, deep learning techniques, lexicon-based techniques, hybrid techniques.

Abstract :

In today’s era, social networking sites have become pervasive and a basic component, they have emerged as a major platform for people to express their feelings. The essence of the social content posted, the exact feelings hidden in the exposed content can be greatly analyzed by sentimental analysis. This survey paper presents a “Comparative study of deep learning based sentiment analysis with other existence techniques and challenges”. Deep learning techniques have shown impressive performance across various natural language processing tasks and multiple data sets. In this review, we are going to explore a comparison review between various algorithms and challenges in the area of sentiment analysis. Also this paper highlights applications of sentiment analysis or opinion mining.

Citing this Journal Article :

Seema Choudhary, Sandeep Bhargava, "Comparative study of deep learning based sentimental analysis with other existence techniques", Volume 8 Issue 4-1 - August 2017, 20-31

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