Results 1 to 10 of about 49,686 (259)
Text Mining in Big Data Analytics
Big Data and Cognitive Computing, 2020 Text mining in big data analytics is emerging as a powerful tool for harnessing the power of unstructured textual data by analyzing it to extract new knowledge and to identify significant patterns and correlations hidden in the data.
Hossein Hassani +4 more
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Organizing an in-class hackathon to correct PDF-to-text conversion errors of 1.0 [PDF]
Genomics & Informatics, 2020 This paper describes a community effort to improve earlier versions of the full-text corpus of Genomics & Informatics by semi-automatically detecting and correcting PDF-to-text conversion errors and optical character recognition errors during the first ...
Sunho Kim +44 more
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Applied Sciences, 2023 Google Scholar (GS) has an interesting feature that allows researchers to manually assign certain research keywords to their profiles, referred to as research labels.
Naif Radi Aljohani
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Text Analytics in Bulgarian: An Overview and Future Directions
Cybernetics and Information Technologies, 2021 Text analytics is becoming an integral part of modern business and economic research and analysis. However, the extent to which its application is possible and accessible varies for different languages.
Hristova Gloria
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Development of Usability Enhancement Model for Unstructured Big Data Using SLR
IEEE Access, 2021 Unstructured text contains valuable information for a range of enterprise applications and informed decision making. Text analytics is used to extract valuable insights from unstructured big data.
Kiran Adnan, Rehan Akbar, Khor Siak Wang
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Text analytics for security [PDF]
Proceedings of the Symposium and Bootcamp on the Science of Security, 2016 Computing systems that make security decisions often fail to take into account human expectations. This failure occurs because human expectations are typically drawn from in textual sources (e.g., mobile application description and requirements documents) and are hard to extract and codify.
Tao Xie 0001, William Enck
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Analytics of machine learning-based algorithms for text classification
Sustainable Operations and Computers, 2022 Text classification is the most vital area in natural language processing in which text data is automatically sorted into a predefined set of classes. The application of text classification is wide in commercial works like spam filtering, decision making,
Sayar Ul Hassan +2 more
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Opinion: Strategy of Semi-Automatically Annotating a Full-Text Corpus of [PDF]
Genomics & Informatics, 2018 There is a communal need for an annotated corpus consisting of the full texts of biomedical journal articles. In response to community needs, a prototype version of the full-text corpus of Genomics & Informatics, called GNI version 1.0, has recently been
Hyun-Seok Park
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Journal of Pure and Applied Microbiology, 2023 Individuals with comorbidities (i.e., Diabetes Mellitus, hypertension, heart diseases) are more likely to develop a more severe form of coronavirus disease 2019 (COVID-19), thus, they should take necessary precautions to avoid infection with severe acute
S.V. Praveen +9 more
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Frontiers in Psychology, 2023 IntroductionOnline reviews have become an important source of information for investigating customers’ consumption experiences in academic studies. In the context of sharing economy-based accommodation, various studies have been conducted to investigate ...
Kai Ding +6 more
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