Automatic text summarization: A comprehensive survey

WS El-Kassas, CR Salama, AA Rafea… - Expert systems with …, 2021 - Elsevier
Abstract Automatic Text Summarization (ATS) is becoming much more important because of
the huge amount of textual content that grows exponentially on the Internet and the various …

[HTML][HTML] Word2vec-based latent semantic analysis (W2V-LSA) for topic modeling: A study on blockchain technology trend analysis

S Kim, H Park, J Lee - Expert Systems with Applications, 2020 - Elsevier
Blockchain has become one of the core technologies in Industry 4.0. To help decision-
makers establish action plans based on blockchain, it is an urgent task to analyze trends in …

Mobile payment and mobile application (app) behavior for online recommendations

SH Liao, CH Ho - Journal of Organizational and End User …, 2021 - igi-global.com
A mobile application (App) is an application designed to run on a smartphone, tablet, or
other mobile device. With the continuous change of mobile payment applications in smart …

A Review of state-of-the-art Automatic Text Summarisation

K Rathi, S Raj, S Mohan, YV Singh - International Journal of …, 2022 - papers.ssrn.com
Text summarisation comes under the domain of Natural Language Processing (NLP), which
entails replacing a long, precise and concise text with a shorter, precise and concise one …

Big data analytics of social network marketing and personalized recommendations

SH Liao, CA Yang - Social Network Analysis and Mining, 2021 - Springer
A fan page is a kind of a social network. Social network marketing (SNM) is a form of Internet
marketing involving the creation and sharing of content on social media networks to achieve …

A user-knowledge vector space reconstruction model for the expert knowledge recommendation system

L Gao, Y Liu, Q Chen, H Yang, Y He, Y Wang - Information Sciences, 2023 - Elsevier
Abstract Expert Knowledge Recommendation System (EKRS) is an intelligent research
assistance system. The system is formed by mapping two sets of conceptual spaces through …

[PDF][PDF] A hybrid document features extraction with clustering based classification framework on large document sets

SA Devi, SS Kumar - International Journal of Advanced …, 2020 - pdfs.semanticscholar.org
As the size of the document collections are increasing day-by-day, finding an essential
document clusters for classification problem is one of the major problem due to high inter …

Exploring negative spillover effects on stakeholders: A case study on social media talk about crisis in the food industry using data mining

D Zimand-Sheiner, S Levy, E Eckhaus - Sustainability, 2021 - mdpi.com
Focusing on public-centered, social-mediated crisis communication, the current exploratory
study drew on situational crisis communication theory to formulate a comprehensive view of …

Multitask-based association rule mining

PY TAŞER, KU Birant, D Birant - Turkish Journal of Electrical …, 2020 - journals.tubitak.gov.tr
Recently, there has been a growing interest in association rule mining (ARM) in various
fields. However, standard ARM algorithms fail to discover rules for multitask problems as …

Identification of key customer requirements based on online reviews

N Li, X Jin, Y Li - Journal of Intelligent & Fuzzy Systems, 2020 - content.iospress.com
Customer requirements are the essential driving force for successful product development.
They can be grouped into several categories, including basic requirements, indifferent …