Natural language processing (NLP) has recently gained much attention for representing and
analyzing human language computationally. It has spread its applications in various fields …

As information is available in abundance for every topic on internet, condensing the
important information in the form of summary would benefit a number of users. Hence, there …

The enormous quantity of text makes it challenging for users to obtain the key information
and knowledge. Automatic text summarization can alleviate this problem by providing …

Humans must easily handle the vast amounts of data being generated by the revolution of
information technology. Thus, Automatic Text summarization has been applied to various …

Big data and cloud computing technology appeared on the scene as new trends due to the
rapid growth of social media usage over the last decade. Big data represent the immense …

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 …

Community-based question answering (cQA) sites have accumulated vast amount of
questions and corresponding crowdsourced answers over time. How to efficiently share the …

Text summarization presents several challenges such as considering semantic relationships
among words, dealing with redundancy and information diversity issues. Seeking to …

Topic evolution mining on short texts is an important research topic in natural language
processing. Existing methods have been focused either on the topic evolution of normal …

Academic research is crucial to the development of science and technology and is an
important factor that affects national strength. When writing an academic research paper, a …