Results 1 to 10 of about 78,543 (258)
A Customizable Text Classifier for Text Mining
Data Science Journal, 2007 Text mining deals with complex and unstructured texts. Usually a particular collection of texts that is specified to one or more domains is necessary. We have developed a customizable text classifier for users to mine the collection automatically.
Yun-liang Zhang, Quan Zhang
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Applications of text mining in services management: A systematic literature review
International Journal of Information Management Data Insights, 2021 The importance of text mining is increasing in services management as the access to big data is increasing across digital platforms enabling such services.
Sunil Kumar +2 more
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Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, 2019 AbstractThe 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. It produces exciting challenges on how to mine text data in order to find useful knowledge for educational stakeholders.
Cristobal Romero Morales, Evandro Costa
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Getting started in text mining.
PLoS Computational Biology, 2008 Text mining is the use of automated methods for exploiting the enormous amount of knowledge available in the biomedical literature. There are at least as many motivations for doing text mining work as there are types of bioscientists. Model organism database curators have been heavy participants in the development of the field due to their need to ...
K Bretonnel Cohen, Lawrence Hunter
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Issues in Science and Technology Librarianship, 2017 This chapter reveals the overview of text mining; text mining, patent analysis, and keyword selection; text mining and sentiment analysis in modern marketing; text mining applications in the biomedical sciences; and the multifaceted applications of text mining.
Kristen Cooper
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, 2008 Most data mining methods assume that the data to be mined is represented in a structured relational database. However, in many applications, available electronic information is in the form of unstructured natural-language documents rather than structured databases. This tutorial will review machine learning methods for text mining.
Andrew B, Clegg, Adrian J, Shepherd
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A large dataset of scientific text reuse in Open-Access publications
Scientific Data, 2023 We present the Webis-STEREO-21 dataset, a massive collection of Scientific Text Reuse in Open-access publications. It contains 91 million cases of reused text passages found in 4.2 million unique open-access publications.
Lukas Gienapp +4 more
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CoRR, 2022 The rapid growth of the internet has increased the number of online texts. This led to the rapid growth of the number of online texts in the Arabic language. The enormous amount of text must be organized into classes to make the analysis process and text retrieval easier. Text classification is, therefore, a key component of text mining.
Sumaia Mohammed Al-Ghuribi +1 more
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Comparing neural models for nested and overlapping biomedical event detection
BMC Bioinformatics, 2022 Background Nested and overlapping events are particularly frequent and informative structures in biomedical event extraction. However, state-of-the-art neural models either neglect those structures during learning or use syntactic features and external ...
Kurt Espinosa +5 more
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Automatic identification of suicide notes with a transformer-based deep learning model
Internet Interventions, 2021 Suicide is one of the leading causes of death worldwide. At the same time, the widespread use of social media has led to an increase in people posting their suicide notes online. Therefore, designing a learning model that can aid the detection of suicide
Tianlin Zhang +2 more
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