With the evolution of the Internet and multimedia technology, the amount of text data has
increased exponentially. This text volume is a precious source of information and knowledge …

With the advent of Web 2.0, there exist many online platforms that results in massive textual
data production such as social networks, online blogs, magazines etc. This textual data …

This research paper presents a novel approach to optimize Hindi paragraph summarization
using the PageRank method. With the increasing volume of Hindi language content on the …

Featured Application This paper provides applicability of the Real Coded Genetic Algorithm
to the Natural Language Processing Task, ie, Text Summarization. The purpose of text …

Any opinion of an individual through which the feelings, attitudes and thoughts can be
expressed is known as sentiment. The kinds of data analysis which is attained from the news …

Text summarization is an important application of natural language processing (NLP)
especially in this era where there is an abundance of information on the internet. In such a …

Propelled by the advancements in the field of natural language processing, generating
summaries of long texts using various NLP tools and techniques has always been a subject …

The research on text summarization for low-resource Indian languages has been limited due
to the availability of relevant datasets. This paper presents a summary of various deep …

For the past few years, sentiment analysis has been growing rapidly and with the
abundance of computation power and plethora of machine learning algorithms, sentiment …

Text summarizing reduces a large block of text data to a precise, short, and intelligible text
that conveys the whole meaning of the actual text in a few words while maintaining the …