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Text Preprocessing for Text Mining in Organizational Research: Review and Recommendations
Organizational Research Methods, 2020Recent advances in text mining have provided new methods for capitalizing on the voluminous natural language text data created by organizations, their employees, and their customers.
Louis Hickman +4 more
semanticscholar +1 more source
Computer Applications in Engineering Education, 2020
Massive open online courses (MOOCs) are recent innovative approaches in distance education, which provide learning content to participants without age‐, gender‐, race‐, or geography‐related barriers. The purpose of our research is to present an efficient
Aytuğ Onan
semanticscholar +1 more source
Massive open online courses (MOOCs) are recent innovative approaches in distance education, which provide learning content to participants without age‐, gender‐, race‐, or geography‐related barriers. The purpose of our research is to present an efficient
Aytuğ Onan
semanticscholar +1 more source
Proceedings of the 43rd annual Southeast regional conference - Volume 1, 2005
Identification of articles related to a particular domain is addressed by Text Mining. This paper demonstrates the benefits of combining classification and clustering towards achieving the goal of grouping very closely related articles/documents. Classification chaffs out the articles which do not belong to the domain of interest and clustering forms ...
Sholom M. Weiss +3 more
openaire +2 more sources
Identification of articles related to a particular domain is addressed by Text Mining. This paper demonstrates the benefits of combining classification and clustering towards achieving the goal of grouping very closely related articles/documents. Classification chaffs out the articles which do not belong to the domain of interest and clustering forms ...
Sholom M. Weiss +3 more
openaire +2 more sources
The New Legal Landscape for Text Mining and Machine Learning
Social Science Research Network, 2020Individually and collectively, copyrighted works have the potential to generate information that goes far beyond what their individual authors expressed or intended.
Matthew J. Sag
semanticscholar +1 more source
NV-Retriever: Improving text embedding models with effective hard-negative mining
arXiv.orgText embedding models have been popular for information retrieval applications such as semantic search and Question-Answering systems based on Retrieval-Augmented Generation (RAG).
G. Moreira +5 more
semanticscholar +1 more source
WIREs Data Mining Knowl. Discov., 2019
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, among others.
R. F. Mello +4 more
semanticscholar +1 more source
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, among others.
R. F. Mello +4 more
semanticscholar +1 more source