Sentiment analysis is a classification problem where the main focus is to predict the polarity
of words and then classify them into positive or negative sentiment. Classifiers used are of …

As Artificial Intelligence (AI) and Machine Learning (ML) gaining momentum on industry and
academic field, a deeper understanding for AI and ML are highly required. One of the most …

Covid-19 is a disease caused by a virus and has become a pandemic in many countries
around the world. The disease not only affects public health, but also affects other aspects of …

Social media is a platform in which the data is generated each and every day in an
abundance manner. The data is so large that cannot be easily understood, so this has …

The modern era internet is full of information pertaining to opinion of people through
applications such as social media, micro blogging sites, review sites, personal blogs etc …

Nowadays, we are virtually living on social media, constantly sharing news and opinions
regarding things that associate with us. As a result, social media sites are getting flooded …

Analysis of sentiments is the method of deciding whether the sentiments in the text is
positive, negative or neutral. It is also known as material polarity or mining of opinions. The …

Background: Sentiment analysis of big data such as Twitter primarily aids the organizations
with the potential of surveying public opinions or emotions for the products and events …

Sentiment analysis aims to extract opinions, attitudes, as well as emotions from social media
sites such as twitter. It has become a popular research area. The primary focus of the …

Abstract Twitter Sentiment Classification is undergoing great appeal from the research
community; also, user posts and opinions are producing very interesting conclusions and …