With the rapid development of the Internet, the massive amount of web textual data has
grown exponentially, which has brought considerable challenges to downstream tasks, such …

There is an exponential growth in textual content generation every day in today's world. In-
app messaging such as Telegram and WhatsApp, social media websites such as Instagram …

Information is exploding on the web at exponential pace, and online movie review over the
web is a substantial source of information for online users. However, users write millions of …

The extraction of information from the extensive volume of online textual data poses a
significant challenge, and text summarization plays a pivotal role in overcoming this …

E-commerce is prevalent everywhere now-a-days. While shopping from these sites, users
generally go through the reviews of the product posted by other users. For a given product …

Creating a coherent summary of the text is a challenging task in the field of Natural
Language Processing (NLP). Various Automatic Text Summarization techniques have been …

The reviews posted online by the end-users can help the business owners obtain a fair
evaluation of their products/services and take the necessary steps. However, due to the …

Sentiment analysis has significantly progressed in English, whereas Hindi research is still
nascent. Despite being the third most spoken language worldwide, Hindi remains an RRL …

Identifying offensive and discriminatory content, commonly referred to as hate speech, within
textual data is a critical task. This study addresses the task of identifying hate speech in …

Product reviews are essential as they help customers to make purchase decisions. Often
these product reviews are used to be too abundant, lengthy and descriptive. However, the …