With the advent of deep learning paradigms, many new algorithms have been flourishing
which can be leveraged for the task of sentiment analysis. In this paper, we present an …

With the outbreak of social networks, blogs, and forums, classifying subjective text
influenced by personal feelings and opinions has become an interesting research area …

In today's digital era, exposure to the internet has changed the economic space; now people
give their views regarding products and services provided to them online so that others can …

Now days the horizons of social online media keep expanding, the impacts they have on
people are huge. For example, many businesses are taking advantage of the input from …

Sentiment Analysis (SA) is the field that combines Natural Language Processing (NLP),
Computational Linguistics (CL) and text analysis to study people's opinions through, by …

Due to the advent of Web 2.0 and Internet boom, social media is essential to generate vast
amount of data that can be analyzed for various purposes. For instance, we can use the vast …

Opinion Mining and Sentiment analysis on textual data are widely carried out. The main
aspect is what techniques we use to accentuate the performance of these models. In this …

This paper presents a detailed review of deep learning techniques used in Sentiment
Analysis. Sentiment analysis is one of the most researched areas in natural language …

Sentiment analysis is one of the fields of Natural Language Processing that builds a system
to recognize and extract opinions in the form of text into positive or negative sentiment …

The rise of social media is enabling people to freely express their opinions about products
and services. The aim of sentiment analysis is to automatically determine subject's sentiment …