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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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Text Mining Infrastructure in R [PDF]
Journal of Statistical Software, 2008 During the last decade text mining has become a widely used discipline utilizing statistical and machine learning methods. We present the tm package which provides a framework for text mining applications within R.
Kurt Hornik, Ingo Feinerer, David Meyer
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, 2008 One of the fastest-growing fields in bioinformatics is text mining: the application of natural language processing techniques to problems of knowledge management and discovery, using large collections of biological or biomedical text such as MEDLINE.
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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Wirtschaftsinformatik, 2000 Text mining is the process of analyzing naturally occurring text for the purpose of discovering and capturing semantic information for insertion and storage in what I'll call a Knowledge Organization Structure (KOS) with the ultimate goal of enabling knowledge discovery via either textual or visual access for use in a wide range of significant ...
Meier, Marco C., Beckh, Michael
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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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Natural language processing applied to mental illness detection: a narrative review
npj Digital Medicine, 2022 Mental illness is highly prevalent nowadays, constituting a major cause of distress in people’s life with impact on society’s health and well-being. Mental illness is a complex multi-factorial disease associated with individual risk factors and a variety
Tianlin Zhang +3 more
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MuSe: The Musical Sentiment Dataset
Journal of Open Humanities Data, 2021 The MuSe (Music Sentiment) dataset contains sentiment information for 90,001 songs. We computed scores for the affective dimensions of valence, dominance, and arousal, based on the user-generated tags that are available for each song via Last.fm.
Christopher Akiki, Manuel Burghardt
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COPIOUS: A gold standard corpus of named entities towards extracting species occurrence from biodiversity literature [PDF]
Biodiversity Data Journal, 2019 Background Species occurrence records are very important in the biodiversity domain. While several available corpora contain only annotations of species names or habitats and geographical locations, there is no consolidated corpus that covers all ...
Nhung Nguyen +2 more
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