Keyword extraction: Issues and methods

N Firoozeh, A Nazarenko, F Alizon… - Natural Language …, 2020 - cambridge.org
Due to the considerable growth of the volume of text documents on the Internet and in digital
libraries, manual analysis of these documents is no longer feasible. Having efficient …

An overview of graph-based keyword extraction methods and approaches

S Beliga, A Meštrović, S Martinčić-Ipšić - Journal of information and …, 2015 - hrcak.srce.hr
Sažetak The paper surveys methods and approaches for the task of keyword extraction. The
systematic review of methods was gathered which resulted in a comprehensive review of …

Sentiment analysis: A survey on design framework, applications and future scopes

M Bordoloi, SK Biswas - Artificial intelligence review, 2023 - Springer
Sentiment analysis is a solution that enables the extraction of a summarized opinion or
minute sentimental details regarding any topic or context from a voluminous source of data …

Positionrank: An unsupervised approach to keyphrase extraction from scholarly documents

C Florescu, C Caragea - Proceedings of the 55th annual meeting …, 2017 - aclanthology.org
The large and growing amounts of online scholarly data present both challenges and
opportunities to enhance knowledge discovery. One such challenge is to automatically …

k-core: Theories and applications

YX Kong, GY Shi, RJ Wu, YC Zhang - Physics Reports, 2019 - Elsevier
With the rapid development of science and technology, the world is becoming increasingly
connected. The following dire need for understanding both the relationships amongst …

The core decomposition of networks: Theory, algorithms and applications

FD Malliaros, C Giatsidis, AN Papadopoulos… - The VLDB Journal, 2020 - Springer
The core decomposition of networks has attracted significant attention due to its numerous
applications in real-life problems. Simply stated, the core decomposition of a network …

A graph based keyword extraction model using collective node weight

SK Biswas, M Bordoloi, J Shreya - Expert Systems with Applications, 2018 - Elsevier
In the recent times, a huge amount of text is being generated for social purposes on twitter
social networking site. Summarizing and analysing of twitter content is an important task as it …

A multi-centrality index for graph-based keyword extraction

DA Vega-Oliveros, PS Gomes, EE Milios… - Information Processing & …, 2019 - Elsevier
Keyword extraction aims to capture the main topics of a document and is an important step
in natural language processing (NLP) applications. The use of different graph centrality …

[PDF][PDF] Keyword extraction: a review of methods and approaches

S Beliga - University of Rijeka, Department of Informatics, Rijeka, 2014 - inf.uniri.hr
Keyword extraction: a review of methods and approaches Page 1 1 Keyword extraction: a review
of methods and approaches Slobodan Beliga University of Rijeka, Department of Informatics …

An empirical study of TextRank for keyword extraction

M Zhang, X Li, S Yue, L Yang - IEEE access, 2020 - ieeexplore.ieee.org
As a typical keyword extraction technology, TextRank has been used in a wide variety of
commercial applications, including text classification, information retrieval and clustering. In …