Due to the exponential growth of textual data and web sources, an automatic mechanism is
required to identify relevant information embedded within them. The utility of Automatic …

Keyword Extraction is an important task in several text analysis endeavours. In this paper,
we present a critical discussion of the issues and challenges in graph-based keyword …

Unsupervised keyphrase extraction techniques generally consist of candidate phrase
selection and ranking techniques. Previous studies treat the candidate phrase selection and …

Efficient remote monitoring of the patient infected with coronavirus without spread to
healthcare workers is the need of the hour. An effectual and faster communication system …

In this work the authors propose a novel Selectivity-Based Keyword Extraction (SBKE)
method, which extracts keywords from the source text represented as a network. The node …

Multiple-choice questions (MCQs) are used as instrumental tool for assessment, not only in
various competitive examinations but also in contemporary information and communications …

In today's information-driven world, open data is crucial in making valuable structured data
freely accessible to the public. However, the absence of quality metadata often hinders the …

With the explosive growth of network information, in order to obtain the information faster
and more accurately, this paper proposes a text keyword extraction method based on Bert …

Дается обзор и классификация основных методов автоматического извлечения
ключевых слов из текстовых документов, среди которых выделяются статистические и …

Many researches have been converging on automatic text summarization as increasing of
text documents due to the expansion of information diffusion constantly. The objective of this …