Recent years have seen an increase in interest in sentiment analysis (SA), which is the
process of determining if a textual item communicates a favorable or negative opinion about …

Sentiment Analysis also termed as opinion mining is a classification process which is used
to determine the polarity associated with user reviews in the form of text or images or …

With the fastest growth of information and communication technology (ICT), the availability of
web content on social media platforms is increasing day by day. Sentiment analysis from …

With the exponential growth in the use of social media networks such as Twitter, Facebook,
Flickr, and many others, an astronomical amount of big data has been generated. This data …

Due to the rapid growth of textual information on the web, analyzing users' opinions about
particular products, events or services is now considered a crucial and challenging task that …

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 …

Purpose Neural network (NN)-based deep learning (DL) approach is considered for
sentiment analysis (SA) by incorporating convolutional neural network (CNN), bi-directional …

The World Wide Web such as social networks, forums, review sites and blogs generate
enormous heaps of data in the form of users views, emotions, opinions and arguments about …

With the rapid development of textual information on the web, sentiment analysis is
changing to an essential analytic tool rather than an academic endeavor and numerous …

Sentiment analysis is a technique for determining whether data is positive, negative, or
neutral using Natural Language Processing (NLP). The particular challenge in classifying …