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 …

With the advent of Web 2.0, people became more eager to express and share their opinions
on web regarding day-to-day activities and global issues as well. Evolution of social media …

The new transformed read-write Web has resulted in a rapid growth of user generated
content on the Web resulting into a huge volume of unstructured data. A substantial part of …

Sentiment Analysis (SA) task is to label people's opinions as different categories such as
positive and negative from a given piece of text. Another task is to decide whether a given …

Sentiment lexicons (SL)(aka lexical resources) are the repositories of one or several
dictionaries that consist of known and precompiled sentiment terms. These lexicons play an …

Recently, Deep Learning (DL) approaches have been applied to solve the Sentiment
Classification (SC) problem, which is a core task in reviews mining or Sentiment Analysis …

In the field of natural language processing and text mining, sentiment analysis (SA) has
received huge attention from various researchers' across the globe. By the prevalence of …

The prevailing use of both images and text to express opinions on the web leads to the need
for multimodal sentiment recognition. Some commonly used social media data containing …

Aspect level sentiment analysis is a fine grained task in sentiment analysis which identifies
the product features from an opinionated piece of text and maps the sentiment towards each …

With rapid development of E-commerce platforms, automated review sentiment analysis for
commodities becomes a research focus, with main purpose to extract potential information …