Social media is a powerful source of communication among people to share their sentiments
in the form of opinions and views about any topic or article, which results in an enormous …

Finding a suitable hotel based on user's need and affordability is a complex decision-
making process. Nowadays, the availability of an ample amount of online reviews made by …

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 considerable volume of online reviews for today's hotels are is difficult for review
readers to manually process. Automatic review summarizations are a promising direction for …

Sentiment discovery and analysis (SDA) aims to automatically identify the underlying
attitudes, sentiments, and subjectivity towards a certain entity such as learners and learning …

The primary shortcoming associated with extractive text summarization is redundancy,
where more than one sentence representing a similar type of information are incorporated in …

Opinion summarization is a process to produce concise summaries from a large number of
opinionated texts. In this paper, we present a novel deep-learning-based method for the …

In graph-based extractive text summarization techniques, the weight assigned to the edges
of the graph is the crucial parameter for the sentence ranking. The weights associated with …

Emerging events, such as the COVID pandemic and the Ukraine Crisis, require a time-
sensitive comprehensive understanding of the situation to allow for appropriate decision …

The qualities of human readable summaries available in the datasets are not up to the mark,
leading to issues in creating an accurate model for text summarization. Although recent …