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ESMARConf2021 Session 1A - Automation (text analysis) (livestream)

, 2021
Livestream of ESMARConf2021 Session 1A - Automation (text analysis) Presenter: Arindam Basu Title: Using computational text analysis to filter titles and abstracts of initial search for meta-analysis: case of Quanteda and tidytext Presenter: Martin Westgate Title: An introduction to revtools - R and Shiny App for article screening and topic modelling ...
Grainger, Matthew, Haddaway, Neal, Hennessy, Emily A., Keenan, Ciara, McGuinness, Luke, Westgate, Martin   +5 more
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Identification of proteins regulating phenotype-associated genes of M2 macrophages: a bioinformatic analysis

Вавиловский журнал генетики и селекции
Macrophages are immune system cells that perform various, often opposing, functions in the organism depending on the incoming microenvironment signals.
E. A. Antropova, I. V. Yatsyk, P. S. Demenkov, T. V. Ivanisenko, V. A. Ivanisenko   +4 more
doaj   +1 more source

Analyzing collaborative learning processes automatically [PDF]

, 2008
In this article we describe the emerging area of text classification research focused on the problem of collaborative learning process analysis both from a broad perspective and more specifically in terms of a publicly available tool set called TagHelper
A. C. Graesser, A. King, A. King, A. King, A. M. O'Donnell, A. Stolcke, A. Weinberger, A. Weinberger, A. Yeh, Armin Weinberger, B. Goodman, B. Weiner, B. Wever De, C. P. Rosé, C. Rosé, Carolyn Rosé, D. Kuhn, D. Lewis, D. Litman, E. B. Page, E. B. Page, E. Schegloff, F. Fischer, F. Henri, Frank Fischer, G. Erkens, G. Gweon, G. Salomon, I. H. Witten, I. Kollar, I. Kollar, J. F. Voss, J. Fuernkranz, J. L. Fleiss, J. Piaget, J. Pol van der, J. W. Pennebaker, J. W. Pennebaker, J. W. Pennebaker, J. Wiebe, Jaime Arguello, K. Krippendorf, K. Krippendorff, K. VanLehn, Karsten Stegmann, M. Berkowitz, M. Evens, M. T. H. Chi, N. M. Webb, P. Dillenbourg, P. Dönmez, P. Foltz, R. Kumar, R. Luckin, R. Wegerif, S. D. Teasley, S. Leitão, T. Landauer, V. Aleven, V. Carvalho, V. Vapnik, Yi-Chia Wang, Yue Cui   +62 more
core   +1 more source

Automated text analysis methods to identify the individual structure of motivation for sports and a healthy lifestyle [PDF]

BIO Web of Conferences
In this study, we set two goals: develop and test a method for assessing a person’s motivational profile, based on psychological and content analysis of the text and applicable to motivation for sports and a healthy lifestyle and test automated text ...
Kashkin Vasily, Haladay Diana J.
doaj   +1 more source

The Materials Science Procedural Text Corpus: Annotating Materials Synthesis Procedures with Shallow Semantic Structures

, 2019
Materials science literature contains millions of materials synthesis procedures described in unstructured natural language text. Large-scale analysis of these synthesis procedures would facilitate deeper scientific understanding of materials synthesis ...
Chang, Haw-Shiuan, Flanigan, Jeffrey, Huang, Kevin, Jensen, Zach, Kim, Edward, McCallum, Andrew, Mysore, Sheshera, Olivetti, Elsa, Strubell, Emma   +8 more
core   +1 more source

Automated Evaluation of Telugu Text Essays Using Latent Semantic Analysis

Turkish Journal of Computer and Mathematics Education (TURCOMAT), 2021
The most productive strategy to improve students' ability to write is to have direct and as much as possible teacher input. However, the workload of the teacher is greatly increased. Automated systems are increasingly required to help students write essays.
openaire   +2 more sources

A mixed-methods framework for analyzing text data: Integrating computational techniques with qualitative methods in demography

Demographic Research, 2017
Background: Automated text analysis is widely used across the social sciences, yet the application of these methods has largely proceeded independently of qualitative analysis.
Parijat Chakrabarti, Margaret Frye
doaj   +1 more source

Dynamic Automated Labeling System for Real-Time User Intention Analysis

IEEE Access, 2023
Real-time online user responses can be useful for identifying people’s reactions to business strategies or social phenomena. Many approaches have been proposed to classify user responses, yet most of them exploit either manual or automatic ...
Jinju Park, Hayoung Oh
doaj   +1 more source

Measuring praise and criticism: Inference of semantic orientation from association [PDF]

, 2003
The evaluative character of a word is called its semantic orientation. Positive semantic orientation indicates praise (e.g., "honest", "intrepid") and negative semantic orientation indicates criticism (e.g., "disturbing", "superfluous").
Littman, Michael, Turney, Peter
core   +3 more sources

Multidimensional Model of Sebastian Unger’s Idiostyle in Poetic Creativity: Corpus Analysis and NLP Methods

Proceedings of the International Conference on Applied Innovations in IT
The article presents a multidimensional model of Sebastian Unger’s idiostyle based on corpus analysis and natural language processing (NLP) methods.
Tetiana Hromko, Liudmyla Panchuk
doaj   +1 more source