Results 51 to 60 of about 5,622,932 (269)
, 2018 This article deals with the evolution of the text analysis. The word “text” comes from the past participle of the Latin verb textere, a word with a deep and ancient word structure, which means to weave, to link, and put together a series of elements. The text can be analyzed by content analysis, and there are at least two approaches: qualitative and ...
Zavarrone, Emma, Grassia, Maria G.
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About Yu. Lotman and a Little about Structuralism
Филологический класс, 2022 The article attempts to portray Yu. Lotman as a person and scholar through the eyes of a student, and then a young researcher, based on personal memories.
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Initial Coin Offerings: Risk or Opportunity?
Frontiers in Artificial Intelligence, 2020 Initial coin offerings (ICOs) are one of the several by-products in the world of the cryptocurrencies. Start-ups and existing businesses are turning to alternative sources of capital as opposed to classical channels like banks or venture capitalists ...
Anca Mirela Toma, Paola Cerchiello
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Journal of Information Science Theory and Practice, 2022 For national industrial development in the Fourth Industrial Revolution, it is necessary to provide researchers with appropriate job information. This can be achieved by interconnecting the National Science and Technology Standard Classification System ...
Hyun Ji Jeong +3 more
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DiffuDetox: A Mixed Diffusion Model for Text Detoxification [PDF]
arXiv, 2023 Text detoxification is a conditional text generation task aiming to remove offensive content from toxic text. It is highly useful for online forums and social media, where offensive content is frequently encountered. Intuitively, there are diverse ways to detoxify sentences while preserving their meanings, and we can select from detoxified sentences ...
arxiv
A TEXT-BOOK OF VOLUMETRIC ANALYSIS. [PDF]
Journal of the American Chemical Society, 1903 n ...
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A school text book analysis [PDF]
, 2006 This paper reports on a project to digitise and analyse sample reading books recently used within British Primary schools. Through analysis of the textual content of example texts from this corpus, we aimed to illustrate statistical characteristics of ...
Doherty, G., Weir, G.R.S.
core
TWE‐WSD: An effective topical word embedding based word sense disambiguation
CAAI Transactions on Intelligence Technology, 2021 Word embedding has been widely used in word sense disambiguation (WSD) and many other tasks in recent years for it can well represent the semantics of words.
Lianyin Jia +5 more
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Improving Political Discourse Analysis on Twitter With Context Analysis
IEEE Access, 2021 In this study, we propose a new approach to perform political discourse analysis in social media platforms based on a widely used political categorisation schema in the field of political science, namely, the Comparative Manifestos Project’s ...
Aritz Bilbao-Jayo, Aitor Almeida
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