/LING
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Update: February 24, 2023 The new version of Termout.org is now online, so this web site is now obsolete and will soon be dismantled. |
Lista de candidatos sometidos a examen:
1) categorization (*)
(*) Términos presentes en el nuestro glosario de lingüística
1) Candidate: categorization
Is in goldstandard
1
paper corpusSignosTxtLongLines252 - : Science popularization is an activity which has grown considerably with the expansion of popular magazines, newspapers and the World Wide Web. Popularization means recontextualizing scientific knowledge to convey it to wider audiences (Calsamiglia, 2003). Loffler-Laurian (1983, in Gallardo, 1998) propose a division of popular science articles based on the communication system, the characteristics of the writer and the reader, and the nature of the message media. This categorization includes:
2
paper corpusSignosTxtLongLines337 - : Wolff, P., Klettke, B., Ventura, T. & Song, G. (2005). Expressing causation in english and other languages. In W. Ahn, R. Goldstone, B. Love, A. Markman & P. Wolff (Eds.), Categorization inside and outside the laboratory: Essays in honor of Douglas l . Medin (pp. 29-48). Washington, DC: American Psychological Association. [ [60]Links ]
3
paper corpusSignosTxtLongLines374 - : Abstract: This study aims to analyze and categorize biomedical articles from the field of neuroscience, specifically, scientific articles related to hearing loss are considered. The text categorization process usually consists of two stages: the first one consists of the division of the classes that divide the object of study, and the second one is focused on the categorization of the texts which make up our corpus . In most applications, the categorization is solved by basing the models on the obtention of dispersed classes; this allows for existing algorithms of categorization to get good results because there are big lines of separation among the classes. But there are problems when these lines of separation are narrow. This paper presents a different approach by integrating two algorithms of categorization: using n-grams of letters for categorizing distant classes, and later refining the categorization of documents partially, using the terms of a domain ontology related with genes,
4
paper corpusSignosTxtLongLines408 - : Visual recognition and semantic categorization of novel words in English as a foreign language ( L2): The role of incidental reading and vocabulary exercises
5
paper corpusSignosTxtLongLines551 - : The aim of this article is to account for the analysis of the reality represented in the construction of discourse, from a case of a qualitative etnographic study which blends into a double aspect: the disappearance of a minor which ended in tragedy and the supposed guilt of an immigrant belonging to the black race in a murder which had a wide spread media impact. Thus, in this discourse analysis and categorization analysis of the actants, we will try to clarify the different features, components and treatment in the official sites of Twitter and Facebook of four Spanish mass media: @telecincoes, @laSextaNoticias, @NoticiasCuatro and @A3Noticias . The results bring to light how discourse in social networks has a much wider projection if it is based on aporophobia, revealing itself as a ‘parallel trial’ normalized before certain social events, approach which is boosted by mass media itself.
6
paper corpusSignosTxtLongLines562 - : Mihatsch, W. (2018b). From ad hoc category to ad hoc categorization: The proceduralization of Argentinian Spanish tipo . En C. Mauri & A. Sansò (Eds.), Linguistic strategies for the construction of ad hoc categories: Synchronic and diachronic perspectives (pp. 147-176). Berlín/Boston: de Gruyter. [ [292]Links ]
Evaluando al candidato categorization:
2) classes: 3
3) articles: 3
4) discourse: 3 (*)
categorization
Lengua: eng
Frec: 74
Docs: 36
Nombre propio: 1 / 74 = 1%
Coocurrencias con glosario: 1
Puntaje: 1.598 = (1 + (1+3.32192809488736) / (1+6.22881869049588)));
Candidato aceptado
Referencias bibliográficas encontradas sobre cada término
(Que existan referencias dedicadas a un término es también indicio de terminologicidad.)| categorization |
: Chi, M., Feltovich, P., & Glaser, R. (1981). Categorization and representation of physics problems by experts and novices. Cognitive Science, 5, 121-152. : Clopper, C. G. & Pisoni, D. B. (2004). Homebodies and army brats: Some effects of early linguistic experience and residential history on dialect categorization. Language Variation and Change, 16(1), 31-48. : Fifié, M. & Townsend, J. (2010). Information-processing alternatives to holistic perception: Identifying the mechanisms of secondary-level holism within a categorization paradigm. Journal of Experimental Psychology: Learning, Memory, and Cognition, 36(5), 1290-1313. : Gliozzo, A. & Strapparava, C. (2005b). Domain kernels for text categorization. Proceedings of (CONLL), Michigan, U.S.A. : In addition to the former categorization derived from business websites, Hammerich and Harrison (2002) suggest the following taxonomy of links that has to do with the kind of information they provide, though they observe that: : Jackson, P. & Moulinier, I. (2003). Natural language processing for online applications. Text retrieval, extraction and categorization. Philadelphia: Benjamins. : Kurinski, E. & Sera, M. D. (2011). Does learning Spanish grammatical gender change English-speaking adults’ categorization of inanimate objects? Bilingualism: Language and Cognition, 14, 203-220. : Lan, M., Tan, C. L., Su, J. & Lu, Y. (2009). Supervised and traditional term weighting methods for automatic text categorization. IEEE Transactions on Pattern Analysis and Machine Intelligence, 31(4), 721-735. : Larkey, L. (1998). Automatic essay grading using text categorization techniques. Proceedings of the 21^st Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, New York, U.S.A. : Lee, S. & Jiang, J. (2014). Multilabel text categorization based on fuzzy relevance clustering. Fuzzy Systems IEEE Transactions, 22(6), 1457,1471. : Leopold, E. & Kindermann, J. (2002). Text categorization with support vector machines. How to represent texts in input space? Machine Learning, 46(1-3) 423-444. : Lewis, D. & Ringuette, M. (1994). A comparison of two learning algorithms for text categorization.En Annual symposium on document analysis and information retrieval. Las Vegas, NV, USA. : Lewis, D., Yang, Y., Rose, T. & Li. F. (2004). RCV1: A new benchmark collection for text categorization research. Journal of Machine Learning Research, 5, 361-397. : Martín-Valdivia, M., García-Vega, M. & Ureña-López, L. (2003). LVQ for text categorization using a multilingual linguistic resource. Neurocomputing, 55, 665-679. : McCallum, A. & Nigam, K. (1998). A comparison of event models for naive Bayes text classification. En International conference on machine learning, Workshop on learning for text categorization. Madison, Wisconsin, USA. : Mikulincer, M., Kedem, P. & Paz, D. (1990). Anxiety and categorization: 1. The structure and boundaries of mental categories. Personality and Individual Differences, 11, 805-814. : Psathas, G. (1999). Studying the organization in action: Membership categorization and interaction analysis. Human Studies, 22(2-4), 139-162. : Roby, D. (2007). Aspect and the categorization of states: The case of ser and estar in Spanish. Unpublished doctoral dissertation, University of Texas of Austin. USA. : Rosch, E. (1975). Principles of categorization. En E. Rosch & B. Lloyd (Eds.), Cognition and categorization (pp. 27-48). Hillsdale: Erlbaum. : Samraj, B. (2016). Discourse structure and variation in manuscript review. Implications for genre categorization. English for Specific Purposes, 42, 76-88. : Sebastiani, F. (2002). Machine learning in automated text categorization. ACM Computing Survey, 34(1), 1-47. : Smith, E. E., Patalano, A. L. & Jonides, J. (1998). Alternative strategies of categorization. Cognition, 65(2), 167-196. doi: 10.1016/S0010-0277(97)00043-7 : Taylor, J. (2003). Linguistic categorization. New York: Oxford University Press. : Yang, Y. & Pedersen, J. (1997). A comparative study on feature selection in text categorization [en línea]. Disponible en: [84]http://citeseer.ist.psu.edu/yang97comparative.html : Yoshida, M., Matsushima, S., Ono, S., Sato, I. & Nakagawa, H. (2010). ITC-UT: Tweet Categorization by Query Categorization for On-line Reputation Management. In 2nd Web People Search Evaluation Workshop (WePS 2010). CLEF 2010 Conference. : Zhang, T. & Oles, F. (2001). Text categorization based on regularized linear classification methods. Journal of Information Retrieval, 4(1), 5-31. |