Nowadays, the development of new computer-based technologies has led to rapid increase
in the volume of user-generated textual content on the website. Patient-written medical and …

Sentiment analysis concerns the study of opinions expressed in a text. Due to the huge
amount of reviews, sentiment analysis plays a basic role to extract significant information …

The purpose of sentiment classification is to determine whether a particular document has a
positive or negative nuance. Sentiment classification is extensively used in many business …

Since coronavirus has shown up, inaccessibility of legitimate clinical resources is at its peak,
like the shortage of specialists and healthcare workers, lack of proper equipment and …

Since the turn of the century, as millions of user's opinions are available on the web,
sentiment analysis has become one of the most fruitful research fields in Natural Language …

Aspect-level sentiment analysis is a fine-grained sentiment analysis task designed to identify
the sentiment polarity of specific target in a sentence. However, this task is rarely used in …

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 …

Abstract Analysis of consumer reviews posted on social media is found to be essential for
several business applications. Consumer reviews posted in social media are increasing at …

Due to the enormous amount of data and opinions being produced, shared and transferred
everyday across the internet and other media, Sentiment analysis has become vital for …

With the outbreak of social networks, blogs, and forums, classifying subjective text
influenced by personal feelings and opinions has become an interesting research area …