Abstract Automatic Text Summarization (ATS) is becoming much more important because of
the huge amount of textual content that grows exponentially on the Internet and the various …

Text summarization is the process of condensing a long text into a shorter version by
maintaining the key information and its meaning. Automatic text summarization can save …

Online stores like Amazon provide a website for consumers to express their opinions about
different items. Since then, it has been established that buying online, 90% of consumers are …

Microblogging platforms such as Twitter are widely used by eyewitnesses and affected
people to post situational updates during mass convergence events such as natural and …

The rapid expansion of social media platforms has resulted in an unprecedented surge of
short text content being generated on a daily basis. Extracting valuable insights and patterns …

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 huge popularity of social media platforms, such as Twitter, attracts a large fraction of
users to share real-time information and short situational messages during disasters. A …

Online social media platforms, such as Twitter, are one of the most valuable sources of
information during disaster events. Humanitarian organizations, government agencies, and …

Summarizing trending topics in large collections of Facebook posts is particularly relevant to
profile social user activities and interests. However, automatically generating these …

Text summarization remains a challenging task in the natural language processing field
despite the plethora of applications in enterprises and daily life. One of the common use …