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Text Analytics: Present, Past and Future
2020Text analytics is a large umbrella under which it is possible to report countless techniques, models, methods for automatic and quantitative analysis of textual data. Its development can be traced back the introduction of the computer, but the prodromes date back, the importance of text analysis has grown over time and has been greatly enriched with ...
IEZZI D., CELARDO L.
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Text-analytical approaches to humanitarian communication
2021The public circulation of images, speeches and written documents for the purpose of moral education dates as far back as these modes of communication themselves. Religious imagery and scripture are obvious cases in point. The practice of analyzing such texts as cultural traces of particular historical manifestations of morality has an equally long ...
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Introduction to Text Analytics
2018In this chapter we define text analytics, discuss its origins, cover its current usage, and show its value to businesses. The chapter describes examples of current text analytics uses to demonstrate the wide array of real-world impacts. Finally, we present a process road map as a guide to text analytics and to the book.
Murugan Anandarajan +2 more
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Analytics for Noisy Unstructured Text Data I
2009Accdrnig to rscheearch at Cmabrigde Uinervtisy, it deosn’t mttaer in what oredr the ltteers in a wrod are, the olny iprmoetnt tihng is that the frist and lsat ltteer be at the rghit pclae. Tihs is bcuseae the human mnid deos not raed ervey lteter by istlef, but the wrod as a wlohe.1 Unfortunately computing systems are not yet as smart as the human mind.
Shourya Roy, L. Venkata Subramaniam
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Findings of the Association for Computational Linguistics: NAACL 2022, 2022
Wanjun Zhong +9 more
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Wanjun Zhong +9 more
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Domain-specific text dictionaries for text analytics
International Journal of Data Science and Analytics, 2022Andrea Villanes, Christopher G. Healey
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