Personal profile
OECD Fields of Science
- 1.2 Computer and Information Sciences
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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SDG 7 Affordable and Clean Energy
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Dive into the research topics where Jānis Zuters is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Human Intelligence vs Artificial Intelligence: Secondary Term Creation in Information and Communication Technology Field
Šostaka, D., Borzovs, J. & Zuters, J., 2024, Ceur Workshop Proceedings. Vol. 3698. p. 33-47 15 p. (CEUR Workshop Proceedings).Research output: Chapter in Book/Report/Conference proceeding › Conference paper › Research › peer-review
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Frustration Level Analysis in Customer Support Tweets for Different Languages
?eonova, V. & Zuters, J., 2022, Baltic DB&IS Doctoral Consortium and Forum 2022. p. 45-54 10 p. (CEUR Workshop Proceedings; vol. 3158).Research output: Chapter in Book/Report/Conference proceeding › Conference paper › Research › peer-review
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Frustration Level in Customer Support Tweets: Towards a Language-Independent Model
Ļeonova, V. & Zuters, J., 2022, In: Baltic Journal of Modern Computing. 10, 4, p. 738-753 16 p.Research output: Contribution to journal › Article › peer-review
Open Access -
ReCoTOS: A Platform for Resource-sparing Computing Task Optimization
Kampars, J., Mosāns, G., Zuters, J., Gulbis, A. & Gulbe, R., 2022, Proceedings of the 17th International Conference on Evaluation of Novel Approaches to Software Engineering, ENASE 2022. p. 251-258 8 p. (International Conference on Evaluation of Novel Approaches to Software Engineering, ENASE - Proceedings).Research output: Chapter in Book/Report/Conference proceeding › Conference paper › Research › peer-review
1 Citation (Scopus) -
Frustration Level Annotation in Latvian Tweets with Non-Lexical Means of Expression
Ļeonova, V. & Zuters, J., 2021, International Conference Recent Advances in Natural Language Processing, RANLP 2021: Deep Learning for Natural Language Processing Methods and Applications - Proceedings. p. 814-823 10 p. (International Conference Recent Advances in Natural Language Processing, RANLP).Research output: Chapter in Book/Report/Conference proceeding › Conference paper › Research › peer-review
2 Citations (Scopus)