Social media popularity and importance is on the increase due to people using it for various
types of social interaction across multiple channels. This systematic review focuses on the …

Abstract „Sentiment‟ literally means „Emotions‟. Sentiment analysis, synonymous to
opinion mining, is a type of data mining that refers to the analy-sis of data obtained from …

Abstract Aspect-Based Sentiment Analysis (ABSA) is a fine-grained sentiment analysis task,
which aims to detect target-aspect-sentiment elements in a sentence. Most of the existing …

The volume of social media data on the Internet is constantly growing. This has created a
substantial research field for data analysts. The diversity of articles, posts, and comments on …

Recent research and developments in Sentiment Analysis (SA) have simplified sentiment
detection and classification from textual content. The related domains for these studies are …

Currently, social networks have become the core of internet daily usage. Their popularity is
increasing among the public users every day. Therefore, they can be considered as the …

Twitter Sentiment Study is a difficult task that comprises the various kind of preprocessing
phases, including reduction in dimensionality. The reduction in dimensionality ensures …

Twitter is a social media platform where users can post their messages called 'tweets'.
Comment on a product, person, or event on Twitter; It takes reading and interpreting …

Text mining is the way toward investigating and breaking down a lot of unstructured content
information that can distinguish ideas, designs, subjects, catchphrases and different …

Heart disease is considered to be the most life-threatening ailment in the entire world and
has been a major concern of developing countries. Heart disease also affects the fetus …