DC Field | Value | Language |
dc.contributor.author | Vasyliuk, Victoria | |
dc.contributor.author | Shestakevych, Tetiana | |
dc.coverage.temporal | 23-24 April 2020, Lviv, Ukraine | |
dc.date.accessioned | 2020-06-12T11:09:59Z | - |
dc.date.available | 2020-06-12T11:09:59Z | - |
dc.date.created | 2020-04-23 | |
dc.date.issued | 2020-04-23 | |
dc.identifier.citation | Vasyliuk V. Information System of Thematic Apperceptive Testing / Victoria Vasyliuk, Tetiana Shestakevych // Computational linguistics and intelligent systems : proceedings of the 4nd International conference, 23-24 April 2020, Lviv, Ukraine. — Lviv : Lviv Politechnic Publishing House, 2020. — Vol 2 : Proceedings of the 4nd International conference, COLINS 2020. Workshop, Lviv, Ukraine April 23-24, 2020. — P. 264–265. — (Intelligent Systems). | |
dc.identifier.issn | 2523-4013 | |
dc.identifier.uri | https://ena.lpnu.ua/handle/ntb/52155 | - |
dc.format.extent | 264-265 | |
dc.language.iso | en | |
dc.publisher | Видавництво Львівської політехніки | |
dc.publisher | Lviv Politechnic Publishing House | |
dc.relation.ispartof | Computational linguistics and intelligent systems : proceedings of the 4nd International conference (2), 2020 | |
dc.title | Information System of Thematic Apperceptive Testing | |
dc.type | Article | |
dc.rights.holder | © Національний університет “Львівська політехніка”, 2020 | |
dc.contributor.affiliation | Lviv Polytechnic National University | |
dc.format.pages | 2 | |
dc.identifier.citationen | Vasyliuk V. Information System of Thematic Apperceptive Testing / Victoria Vasyliuk, Tetiana Shestakevych // Computational linguistics and intelligent systems : proceedings of the 4nd International conference, 23-24 April 2020, Lviv, Ukraine. — Lviv : Lviv Politechnic Publishing House, 2020. — Vol 2 : Proceedings of the 4nd International conference, COLINS 2020. Workshop, Lviv, Ukraine April 23-24, 2020. — P. 264–265. — (Intelligent Systems). | |
dc.relation.references | 1. Morgan, Ch.D. & Murray, H.A. (1935) A method for investigating fantasies: The Thematic Apperception Test / Ch.D. Morgan, H.A. Murray. – Archives of Neurology and Psychiatry, 1935 – №34 – pp. 289-306. | |
dc.relation.references | 2. Zasyekina L. Psycholinguistic diagnosis: Textbook / LV Zasyekina, SV Zasyekin. - Luck: RIO "Tower" Wolin. nat. Univ them. Ukrainian Lesya, 2008. - 188 p. | |
dc.relation.references | 3. Kozachenko Yu. Psycholinguistic analysis of internal monologue hero dramatic work (based on Bertolt Brecht drama "Life of Galileo") / Yu. Kozachenko. - trajectory of science: International electronic scientific journal. Section "Philology", 2016. - Vol 2, №12. - S. 4.1-4.6. | |
dc.relation.references | 4. Khairova, N., Kolesnyk, A., Mamyrbayev, O., Mukhsina, K.: The Aligned KazakhRussian Parallel Corpus Focused on the Criminal Theme. In: Computational linguistics and intelligent systems, COLINS, 116-125. (2019) | |
dc.relation.references | 5. Liutenko, I., Kurasov, O.: Consideration of the software tests quality evaluation problem. In: Computational linguistics and intelligent systems, COLINS, 2, 62-65. (2019) | |
dc.relation.references | 6. Lytvyn, V., Vysotska, V., Peleshchak, I., Basyuk, T., Kovalchuk, V., Kubinska, S., Chyrun, L., Rusyn, B., Pohreliuk, L., Salo, T.: Identifying Textual Content Based on Thematic Analysis of Similar Texts in Big Data. In: Proceedings of the International Conference on Computer Sciences and Information Technologies, CSIT, 84-91. (2019) | |
dc.relation.references | 7. Vysotska, V., Lytvyn, V., Kovalchuk, V., Kubinska, S., Dilai, M., Rusyn, B., Pohreliuk, L., Chyrun, L., Chyrun, S., Brodyak, O.: Method of Similar Textual Content Selection Based on Thematic Information Retrieval. In: Proceedings of the International Conference on Computer Sciences and Information Technologies, CSIT, 1-6. (2019) | |
dc.relation.references | 8. Sachenko, S., Lendyuk, T., Rippa, S.: Simulation of Computer Adaptive Learning and Improved Algorithm of Pyramidal Testing. In: International Conference on Intelligent Data Acquisition and Advanced Computing Systems (IDAACS), 2, 764-770. (2013) | |
dc.relation.references | 9. Sachenko, S., Lendyuk, T., Rippa, S., Sapojnyk, G.: Fuzzy Rules for Tests Complexity Changing for Individual Learning Path Construction. Svitlana Sachenko. In: International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications, 945-948. (2015) | |
dc.relation.referencesen | 1. Morgan, Ch.D. & Murray, H.A. (1935) A method for investigating fantasies: The Thematic Apperception Test, Ch.D. Morgan, H.A. Murray, Archives of Neurology and Psychiatry, 1935 – No 34 – pp. 289-306. | |
dc.relation.referencesen | 2. Zasyekina L. Psycholinguistic diagnosis: Textbook, LV Zasyekina, SV Zasyekin, Luck: RIO "Tower" Wolin. nat. Univ them. Ukrainian Lesya, 2008, 188 p. | |
dc.relation.referencesen | 3. Kozachenko Yu. Psycholinguistic analysis of internal monologue hero dramatic work (based on Bertolt Brecht drama "Life of Galileo"), Yu. Kozachenko, trajectory of science: International electronic scientific journal. Section "Philology", 2016, Vol 2, No 12, S. 4.1-4.6. | |
dc.relation.referencesen | 4. Khairova, N., Kolesnyk, A., Mamyrbayev, O., Mukhsina, K., The Aligned KazakhRussian Parallel Corpus Focused on the Criminal Theme. In: Computational linguistics and intelligent systems, COLINS, 116-125. (2019) | |
dc.relation.referencesen | 5. Liutenko, I., Kurasov, O., Consideration of the software tests quality evaluation problem. In: Computational linguistics and intelligent systems, COLINS, 2, 62-65. (2019) | |
dc.relation.referencesen | 6. Lytvyn, V., Vysotska, V., Peleshchak, I., Basyuk, T., Kovalchuk, V., Kubinska, S., Chyrun, L., Rusyn, B., Pohreliuk, L., Salo, T., Identifying Textual Content Based on Thematic Analysis of Similar Texts in Big Data. In: Proceedings of the International Conference on Computer Sciences and Information Technologies, CSIT, 84-91. (2019) | |
dc.relation.referencesen | 7. Vysotska, V., Lytvyn, V., Kovalchuk, V., Kubinska, S., Dilai, M., Rusyn, B., Pohreliuk, L., Chyrun, L., Chyrun, S., Brodyak, O., Method of Similar Textual Content Selection Based on Thematic Information Retrieval. In: Proceedings of the International Conference on Computer Sciences and Information Technologies, CSIT, 1-6. (2019) | |
dc.relation.referencesen | 8. Sachenko, S., Lendyuk, T., Rippa, S., Simulation of Computer Adaptive Learning and Improved Algorithm of Pyramidal Testing. In: International Conference on Intelligent Data Acquisition and Advanced Computing Systems (IDAACS), 2, 764-770. (2013) | |
dc.relation.referencesen | 9. Sachenko, S., Lendyuk, T., Rippa, S., Sapojnyk, G., Fuzzy Rules for Tests Complexity Changing for Individual Learning Path Construction. Svitlana Sachenko. In: International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications, 945-948. (2015) | |
dc.citation.spage | 264 | |
dc.citation.epage | 265 | |
dc.coverage.placename | Львів | |
dc.coverage.placename | Lviv | |
Appears in Collections: | Computational linguistics and intelligent systems. – 2020 р.
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