Understanding and comprehending humans' views, beliefs, attitudes, or opinions toward a
particular entity is sentiment analysis (SA). Advancements in e‐commerce platforms has led …

Sentiments and emotions of a person on social media is classified by the effective data
science approaches. Data science is an inter-disciplinary domain that utilizes the scientific …

In today's digital era, Twitter's data has been the focus point among researchers as it
provides specific data and in a wide variety of fields. Furthermore, Twitter's daily usage has …

We have proposed MultiLexANFIS which is an adaptive neuro-fuzzy inference system
(ANFIS) that incorporates inputs from multiple lexicons to perform sentiment analysis of …

Background and Objectives: Twitter Sentiment Classification is one of the most popular
fields in information retrieval and text mining. Millions of people of the world intensity use …

With the extensive Internet applications, review sentiment classification has attracted
increasing interest among text mining experts. Traditional bag of words approaches did not …

Aspect-based sentiment rating analysis is a decisive industry application for consumers and
service providers. This research needs an efficient tool that reflects various shades of …

Evolution of Artificial Intelligence proves better solutions in wide variety of applications. Due
to advancement of internet and social media, data is increasing exponentially. It is becoming …

Nowadays, the utmost effective rising approach in learning procedure is E-Learning. To be
specific, the combined learning is meant to be a worthwhile approach for assisting and …

The widespread Virtual societal space has become an integral part of human life, in which
opinion generated by others plays a significant role in one's actions. Tweets as a point of the …