In this paper, we propose SummCoder, a novel methodology for generic extractive text
summarization of single documents. The approach generates a summary according to three …

Over the years as the technology advanced, the amount of data generated during the
simulations and processing has been constantly increasing. Techniques for creating …

Patents are a type of intellectual property with ownership and monopolistic rights that are
publicly accessible published documents, often with illustrations, registered by governments …

Abstract In linguistics, the Anaphora Resolution (AR) is the method of identifying the
antecedent for anaphora. In simple terms, this is the problem that helps to solve what the …

Nowadays abundant amount of information is available on Internet which makes it difficult
for the users to locate desired information. Automatic methods are needed to efficiently sieve …

Due to the exponential growth of online information, the ability to efficiently extract the most
informative content and target specific information without extensive reading is becoming …

This book is an introduction to social data analytics along with its challenges and
opportunities in the age of Big Data and Artificial Intelligence. It focuses primarily on …

The volume of text data has been growing exponentially in the last years, mainly due to the
Internet. Automatic Text Summarization has emerged as an alternative to help users find …

Text Summarization is a process of creating gist of large set of documents. It creates a
summary which depicts the overall information contained in large text documents in a short …

Sentiment analysis and text summarization has evoke the interest of many scientists and
researchers in last few years, since the textual data has become useful for many real world …