The world is going to digitize day by day. A lot of data generated by the social website users
that play an essential role in decision-making. It is impossible to read the whole text, so …

Sentiment Analysis is the process of identifying and categorising the sentiments expressed
in a text into positive or negative. The words which carry the sentiments are the keys in …

Abstract Today, Artificial Intelligence is achieving prodigious real-time performance, thanks
to growing computational data and power capacities. However, there is little knowledge …

At present Sentiment analysis is the most discussed topic which is purposed to assist one to
get important information from a large dataset. It centers on the investigation and …

With the proliferation of the Internet's social digital content, sentiment analysis (SA) has
gained a wide research interest in natural language processing (NLP). A few significant …

Over the past decade, increased use of social media has led to an increase in hate content.
To address this issue new solutions must be implemented to filter out this kind of …

Multimodal sentiment analysis involves the classification of sentiment by using different
forms of data together, namely, text, audio, and video. Previously sentiment analysis was …

In the era of web 2.0, online forums, blogs and Twitter are becoming primary sources for
sharing views, opinions and comments about different topics. Classifying these views …

The growing number of digitally accessible text corpora and the accelerating development of
NLP tools and methods (particularly the emergence of powerful large-scale language …

Mining user satisfaction decision stages from online reviews is helpful for understanding
user preferences and conducting user-centered product improvements. Therefore, this study …