Keyword extraction from Tweets using NLP tools for collecting relevant news

TD Jayasiriwardene… - … Research Conference on …, 2020 - ieeexplore.ieee.org
Keywords play a major role in representing the gist of a document. Therefore, a lot of Natural
Language processing tools have been implemented to identify keywords in both structured …

Insight into diverse keyphrase extraction techniques from text documents

U Parida, M Nayak, AK Nayak - … : Proceedings of ICICC 2019, Volume 1, 2020 - Springer
Keyphrase refers to a set of terms which best present the document content in a brief way.
As the world is already approached toward digital documents, it is more crucial to find out a …

A framework to detect twitter platform manipulation and computational propaganda

NC Wickramarathna… - … on Advances in ICT …, 2020 - ieeexplore.ieee.org
Manipulating public opinion using social media has become a pressing issue in this decade.
Evidence of using organized social media manipulation campaigns have been taken place …

EDBase: Generating a Lexicon Base for Eating Disorders Via Social Media

T Anwar, M Fuller-Tyszkiewicz… - IEEE Journal of …, 2022 - ieeexplore.ieee.org
Eating disorders (EDs) are characterised by abnormal eating habits and obsessive thought
about food, weight, shape, and body image. EDs are experienced by a significant portion of …

Hidden revolution of human priorities: An analysis of biographical data from Wikipedia

I Reznik, V Shatalov - Journal of informetrics, 2016 - Elsevier
An innovative study of Wikipedia biographical pages is presented. It is shown that the dates
of some historical cataclysms may be reproduced from peculiarities of lifespan changes over …

A semi-automatic indexing system based on embedded information in HTML documents

M Vállez, R Pedraza-Jiménez, L Codina, S Blanco… - Library Hi …, 2015 - emerald.com
Purpose The purpose of this paper is to describe and evaluate the tool DigiDoc MetaEdit
which allows the semi-automatic indexing of HTML documents. The tool works by identifying …

A layered approach for summarization and context learning from microblogging data

M Abulaish, MIH Showrov, M Fazil - Proceedings of the 20th International …, 2018 - dl.acm.org
Twitter, a microblogging online social network, is one of the most popular information
sharing and communication platform. The large user-base and users mutual interactions …

Namesake alias mining on the Web and its role towards suspect tracking

T Anwar, M Abulaish - Information Sciences, 2014 - Elsevier
With the proliferation of social media, the number of active web-users is rapidly increasing
these days. They create and maintain their personal web-profiles, and use them to interact …

[PDF][PDF] Survey on Insurance Claim analysis using Natural Language Processing and Machine Learning

S Kolambe, P Kaur - Int. J. Recent Innov. Trends Comput …, 2023 - researchgate.net
In the insurance industry nowadays, data is carrying the major asset and playing a key role.
There is a wealth of information available to insurance transporters nowadays. We can …

A keyphrase-based tag cloud generation framework to conceptualize textual data

M Abulaish, T Anwar - … Journal of Adaptive, Resilient and Autonomic …, 2013 - igi-global.com
Tag clouds have become an effective tool to quickly perceive the most prominent terms
embedded within textual data. Tag clouds help grasp the main theme of a corpus without …