Text mining in education

R Ferreira‐Mello, M André, A Pinheiro… - … : Data Mining and …, 2019 - Wiley Online Library
The explosive growth of online education environments is generating a massive volume of
data, specially in text format from forums, chats, social networks, assessments, essays …

A survey of fuzzy systems software: Taxonomy, current research trends, and prospects

J Alcalá-Fdez, JM Alonso - IEEE Transactions on Fuzzy …, 2015 - ieeexplore.ieee.org
Fuzzy systems have been used widely thanks to their ability to successfully solve a wide
range of problems in different application fields. However, their replication and application …

Text mining and probabilistic language modeling for online review spam detection

RYK Lau, SY Liao, RCW Kwok, K Xu, Y Xia… - ACM Transactions on …, 2012 - dl.acm.org
In the era of Web 2.0, huge volumes of consumer reviews are posted to the Internet every
day. Manual approaches to detecting and analyzing fake reviews (ie, spam) are not practical …

[HTML][HTML] A fuzzy ontology framework in information retrieval using semantic query expansion

S Jain, KR Seeja, R Jindal - International Journal of Information …, 2021 - Elsevier
Abstract World Wide Web (WWW) constitutes fuzzy information and requires soft computing
techniques to deal context of the query. It works on the principle of keyword matching …

Social analytics: Learning fuzzy product ontologies for aspect-oriented sentiment analysis

RYK Lau, C Li, SSY Liao - Decision Support Systems, 2014 - Elsevier
In the era of Web 2.0, there has been an explosive growth of consumer-contributed
comments at social media and electronic commerce Web sites. Applying state-of-the-art …

Web 2.0 environmental scanning and adaptive decision support for business mergers and acquisitions

RYK Lau, SSY Liao, KF Wong, DKW Chiu - MIS quarterly, 2012 - JSTOR
Globalization has triggered a rapid increase in cross-border mergers and acquisitions
(M&As). However, research shows that only 17 percent of cross-border M& As create …

Exploring eWOM in online customer reviews: Sentiment analysis at a fine-grained level

Q Sun, J Niu, Z Yao, H Yan - Engineering Applications of Artificial …, 2019 - Elsevier
Customer reviews in social media and electronic commerce Web sites contain valuable
electronic word-of-mouth (eWOM) information of products, which facilitates firms' business …

A personalized ontology model for web information gathering

X Tao, Y Li, N Zhong - IEEE transactions on knowledge and …, 2010 - ieeexplore.ieee.org
As a model for knowledge description and formalization, ontologies are widely used to
represent user profiles in personalized web information gathering. However, when …

A probabilistic generative model for mining cybercriminal networks from online social media

RYK Lau, Y Xia, Y Ye - IEEE Computational intelligence …, 2014 - ieeexplore.ieee.org
There has been a rapid growth in the number of cybercr imes that cause tremendous
financial loss to organizations. Recent studies reveal that cybercriminals tend to collaborate …

Domain taxonomy learning from text: The subsumption method versus hierarchical clustering

J De Knijff, F Frasincar, F Hogenboom - Data & Knowledge Engineering, 2013 - Elsevier
This paper proposes a framework to automatically construct taxonomies from a corpus of text
documents. This framework first extracts terms from documents using a part-of-speech …