Results 31 to 40 of about 208,737 (313)
Review on the Application and Development Strategies of Text Mining in Agriculture Knowledge Services [PDF]
Nongye tushu qingbao xuebao, 2021 [Purpose/Significance] Under the new ecological environment of scientific and technological innovation supporting data-intensive scientific discovery, the new format of knowledge service is quietly taking shape.
SUN Tan, DING Pei, HUANG Yongwen, XIAN Guojian
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Very Large Language Model as a Unified Methodology of Text Mining [PDF]
arXiv, 2022 Text data mining is the process of deriving essential information from language text. Typical text mining tasks include text categorization, text clustering, topic modeling, information extraction, and text summarization. Various data sets are collected and various algorithms are designed for the different types of tasks.
arxiv
Review of Survey Research in Fuzzy Approach for Text Mining
IEEE Access, 2023 Text mining has been a popular research topic in the field of natural language processing. With the emergence of Web 2.0 and the development of social software, the amount of text generated every day has increased dramatically. The texts contain a lot of
Yi-Wei Lai, Mu-Yen Chen
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Systematic Reviews, 2019 Background Here, we outline a method of applying existing machine learning (ML) approaches to aid citation screening in an on-going broad and shallow systematic review of preclinical animal studies.
Alexandra Bannach-Brown +6 more
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Improving Laboratories Efficiency through Website Using Text Mining [PDF]
Engineering and Technology Journal, 2013 Text mining is an emerging technology that can be used to augment existing data in corporate databases by making unstructured text data available for analysis.
Abeer Tariq
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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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Text mining for the biocuration workflow [PDF]
Database, 2012 Molecular biology has become heavily dependent on biological knowledge encoded in expert curated biological databases. As the volume of biological literature increases, biocurators need help in keeping up with the literature; (semi-) automated aids for biocuration would seem to be an ideal application for natural language processing and text mining ...
Hirschman, L. +14 more
openaire +4 more sources
Text Mining the History of Medicine
PLOS ONE, 2016 Historical text archives constitute a rich and diverse source of information, which is becoming increasingly readily accessible, due to large-scale digitisation efforts. However, it can be difficult for researchers to explore and search such large volumes of data in an efficient manner.
Thompson, Paul +8 more
openaire +5 more sources
Journal of King Saud University: Computer and Information Sciences, 2020 Detecting the articles which consist of protein–protein interactions (PPI) is a significant step in biological information extraction. In this paper, we present a hybrid text classification (TC) method to identify protein–protein interaction articles ...
Sabenabanu Abdulkadhar +2 more
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Multi-granularity Argument Mining in Legal Texts [PDF]
arXiv, 2022 In this paper, we explore legal argument mining using multiple levels of granularity. Argument mining has usually been conceptualized as a sentence classification problem. In this work, we conceptualize argument mining as a token-level (i.e., word-level) classification problem. We use a Longformer model to classify the tokens.
arxiv