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 (SA) has been a core interest in the field of text mining research, dealing
with computational processing of sentiments, views, and subjective nature of the text. Due to …

Sentiment analysis (SA) of natural language text is an important and challenging task for
many applications of Natural Language Processing. Till now, researchers have used …

Sentiment analysis is considered to be a category of machine learning and natural language
processing. It is used to extricate, recognize, or portray opinions from different content …

Sentiment Analysis is an application of Natural Language Processing (NLP) which is used to
find the sentiments of users reviews, comments etc. on the internet. Nowadays, social …

Today microblogging has become a very common platform for exchanging opinion among
us. Many users exchange their thoughts on various aspects of their activity. Consequently …

In the past few decades, due to the growth of social networking sites such as Whatsapp and
Facebook, information distribution has been at a level never seen before. Knowing the …

Opinion analysis is by a long shot most basic zone of characteristic language handling. It
manages the portrayal of information to choose the motivation behind the wellspring of the …

In recent years, due to the availability of voluminous data on web for Indian languages, it has
become an important task to analyze this data to retrieve useful information. Because of the …

Transliteration is very common on social media, but transliterated text is not adequately
handled by modern neural models for various NLP tasks. In this work, we combine data …