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Adaptive Vocabulary Construction for Frustration Intensity Modelling in Customer Support Dialog Texts

, и . International Journal of Computer Science & Information Technology (IJCSIT), 12 (6): 01 - 15 (декабря 2020)
DOI: 10.5121/ijcsit.2020.12603

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Marianna Leonova

Viktorija Mickans

Viktorija Joksimovic

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Viktorija Mickans

 

Другие публикации лиц с тем же именем

Morphology-Inspired Word Segmentation for Neural Machine Translation., , и . DB&IS (Selected Papers), том 315 из Frontiers in Artificial Intelligence and Applications, стр. 225-239. IOS Press, (2018)Adaptive Vocabulary Construction for Frustration Intensity Modelling in Customer Support, и . International Journal of Computer Science & Information Technology (IJCSIT), 12 (6): 01 - 15 (декабря 2020)Adaptive Vocabulary Construction for Frustration Intensity Modelling in Customer Support Dialog Texts, и . International Journal of Computer Science & Information Technology (IJCSIT), 12 (6): 01 - 15 (декабря 2020)Review of Non-English Corpora Annotated for Emotion Classification in Text.. DB&IS, том 1243 из Communications in Computer and Information Science, стр. 96-108. Springer, (2020)Insights into archaeological human sample microbiome using 16S rRNA gene sequencing., , , , , , , , и . BIBM, стр. 2264-2266. IEEE Computer Society, (2017)Frustration Level in Customer Support Tweets: Towards a Language-Independent Model., и . Balt. J. Mod. Comput., (2022)Frustration Level Annotation in Latvian Tweets with Non-Lexical Means of Expression., и . RANLP, стр. 814-823. INCOMA Ltd., (2021)Frustration Level Analysis in Customer Support Tweets for Different Languages., и . Doctoral Consortium/Forum@DB&IS, том 3158 из CEUR Workshop Proceedings, стр. 45-54. CEUR-WS.org, (2022)