Emerging technologies can have major economic impacts and affect strategic stability. Yet,
early identification of emerging technologies remains challenging. In order to identify …

In recent times, data is growing rapidly in every domain such as news, social media,
banking, education, etc. Due to the excessiveness of data, there is a need of automatic …

The transmission from offline activities to online activities due to the social disorder evolved
from COVID-19 pandemic lockdown has led to increase in the online economic and social …

Automatic keyphrase extraction techniques aim to extract quality keyphrases for higher level
summarization of a document. Majority of the existing techniques are mainly domain …

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 …

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 …

A keyphrase extraction technique endeavors to extract quality keyphrases from a given
document, which provide a high-level summary of that document. Except statistical …

Summarization is the process of shortening a text document to make a summary that keeps
the main points of the actual document. Extractive summarizers work on the given text to …

Text summarization on non-factoid question answering (NQA) aims at identifying the core
information of redundant answer guidance using questions, which can dramatically improve …

KeyBERT is a method for keywords/keyphrases extraction, which has three steps. The first
step is selecting candidate keywords from a text using sklearn library, the second step is the …