Kostiantyn Kucher

PhD in Computer and Information Science, Linnaeus University, Sweden, 2019
MSc in Computer Science (Information Control Systems and Technologies), Odessa National Polytechnic University, Ukraine, 2012
BSc in Computer Science, Odessa National Polytechnic University, Ukraine, 2010

Kostiantyn Kucher was born in Odessa, Ukraine. He received the Master's degree with honors in Computer Science from Odessa National Polytechnic University in 2012. During 2013–2018, Kostiantyn was a PhD student with a specialization in Information Visualization and Visual Analytics under the supervision of Prof. Dr. Andreas Kerren with the ISOVIS group at the Department of Computer Science and Media Technology at Linnaeus University. Kostiantyn defended his PhD dissertation titled "Sentiment and Stance Visualization of Textual Data for Social Media" in April 2019. During December 2018–December 2019, he was a research assistant with the ISOVIS group.

Since January 2020, he is an associate senior lecturer at the Department of Computer Science and Media Technology.

Full academic CV: https://kostiantyn.com/docs/CV.pdf

Teaching

Autumn term 2020:

4DV807 Project in Visualization and Data Analysis ⇒ instructor
4DV510 Data Mining ⇒ guest lecturer
4DV507 Code Transformation and Interpretation ⇒ course coordinator
4DH410 Digital Humanities Research Methods ⇒ guest lecturer
1DV512 Operating Systems ⇒ course coordinator, examiner

Research

The main research interests and projects of Kostiantyn include the following:

text visualization and visual text analytics (see Text Visualization Browser at https://textvis.lnu.se);
sentiment and stance visualization of text data (see Sentiment Visualization Browser at https://sentimentvis.lnu.se and the website of the StaViCTA project at https://cs.lnu.se/stavicta);
temporal data visualization (especially for temporal text data);
further integration of visual analytics approaches with computational models (especially for natural language processing and text mining tasks) as well as explainable AI (see TrustMLVis Browser at https://trustmlvis.lnu.se); and
domain applications of information visualization and visual analytics (see BioVis Explorer at https://biovis.lnu.se, for instance).

Research Group

Research Projects

Project: StaViCTA Stancetaking is an important factor for social interaction in human communication. This interdisciplinary project will identify how we express stance on the Internet – to create a…

Publications

Article in journal (Refereed)

Chatzimparmpas, A., Martins, R.M., Kucher, K., Kerren, A. (2021). StackGenVis : Alignment of Data, Algorithms, and Models for Stacking Ensemble Learning Using Performance Metrics. IEEE Transactions on Visualization and Computer Graphics.
Kucher, K., Martins, R.M., Paradis, C., Kerren, A. (2020). StanceVis Prime : Visual Analysis of Sentiment and Stance in Social Media Texts. Journal of Visualization.
Chatzimparmpas, A., Martins, R.M., Jusufi, I., Kucher, K., Rossi, F., et al. (2020). The State of the Art in Enhancing Trust in Machine Learning Models with the Use of Visualizations. Computer graphics forum (Print). 39. 713-756.
Kucher, K., Paradis, C., Kerren, A. (2018). The State of the Art in Sentiment Visualization. Computer graphics forum (Print). 37. 71-96.
Simaki, V., Paradis, C., Skeppstedt, M., Sahlgren, M., Kucher, K., et al. (2017). Annotating speaker stance in discourse : the Brexit Blog Corpus. Corpus linguistics and linguistic theory. 1-34.
Kucher, K., Paradis, C., Sahlgren, M., Kerren, A. (2017). Active Learning and Visual Analytics for Stance Classification with ALVA. ACM Transactions on Interactive Intelligent Systems (TiiS). 7.
Kerren, A., Kucher, K., Li, Y., Schreiber, F. (2017). BioVis Explorer : A visual guide for biological data visualization techniques. PLoS ONE. 12.
Kucher, K., Schamp-Bjerede, T., Kerren, A., Paradis, C., Sahlgren, M. (2016). Visual Analysis of Online Social Media to Open Up the Investigation of Stance Phenomena. Information Visualization. 15. 93-116.

Conference paper (Refereed)

Skeppstedt, M., Ahltorp, M., Kucher, K., Kerren, A., Rzepka, R., et al. (2020). Topic modelling applied to a second language : A language adaption and tool evaluation study. Selected Papers from the CLARIN Annual Conference 2019. 145-156.
Kucher, K., Kerren, A. (2019). Text Visualization Revisited : The State of the Field in 2019. Posters of the 21th EG/VGTC Conference on Visualization (EuroVis '19). 29-31.
Kucher, K., Martins, R.M., Kerren, A. (2018). Analysis of VINCI 2009–2017 Proceedings. Proceedings of the 11th International Symposium on Visual Information Communication and Interaction (VINCI '18), 13-15 August 2018, Växjö, Sweden. 97-101.
Kucher, K., Skeppstedt, M., Kerren, A. (2018). Application of Interactive Computer-Assisted Argument Extraction to Opinionated Social Media Texts. Proceedings of the 11th International Symposium on Visual Information Communication and Interaction (VINCI '18). 102-103.
Kucher, K., Paradis, C., Kerren, A. (2018). Visual Analysis of Sentiment and Stance in Social Media Texts. EuroVis 2018 - Posters. 49-51.
Skeppstedt, M., Kucher, K., Stede, M., Kerren, A. (2018). Topics2Themes : Computer-Assisted Argument Extraction by Visual Analysis of Important Topics. Proceedings of the LREC 2018 Workshop “The 3rd Workshop on Visualization as Added Value in the Development, Use and Evaluation of Language Resources (VisLR III)”. 9-16.
Kucher, K., Paradis, C., Kerren, A. (2018). DoSVis : Document Stance Visualization. Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP '18). 168-175.
Kerren, A., Kucher, K., Li, Y., Schreiber, F. (2017). MDS-based Visual Survey of Biological Data Visualization Techniques. EuroVis 2017 - Posters. 85-87.
Martins, R.M., Simaki, V., Kucher, K., Paradis, C., Kerren, A. (2017). StanceXplore : Visualization for the Interactive Exploration of Stance in Social Media. .
Skeppstedt, M., Kucher, K., Paradis, C., Kerren, A. (2017). Language Processing Components of the StaViCTA Project. Proceedings of the Workshop on Logic and Algorithms in Computational Linguistics 2017 (LACompLing 2017). 137-138.
Kucher, K., Kerren, A., Paradis, C., Sahlgren, M. (2016). Visual Analysis of Text Annotations for Stance Classification with ALVA. EuroVis Posters 2016. 49-51.
Kucher, K., Cernea, D., Kerren, A. (2016). Visualizing Excitement of Individuals and Groups. Proceedings of the ACM IUI 2016 Workshop on Emotion and Visualization (EmoVis '16). 15-22.
Kucher, K., Kerren, A., Paradis, C., Sahlgren, M. (2016). Methodology and Applications of Visual Stance Analysis : An Interactive Demo. International Symposium on Digital Humanities, Växjö 7-8 November 2016 : Book of Abstracts. 56-57.
Schamp-Bjerede, T., Paradis, C., Kucher, K., Kerren, A., Sahlgren, M. (2015). New Perspectives on Gathering, Vetting and Employing Big Data from Online Social Media : An Interdisciplinary Approach. Abstracts Booklet, ICAME 36 : Words, Words, Words – Corpora and Lexis. 153-155.
Kucher, K., Kerren, A. (2015). Text Visualization Techniques : Taxonomy, Visual Survey, and Community Insights. Proceedings of the 8th IEEE Pacific Visualization Symposium (PacificVis '15),. 117-121.
Kucher, K., Kerren, A., Paradis, C., Sahlgren, M. (2014). Visual Analysis of Stance Markers in Online Social Media. Poster Abstracts of IEEE VIS 2014.
Schamp-Bjerede, T., Paradis, C., Kucher, K., Kerren, A., Sahlgren, M. (2014). Turning Face : Emoticons as Reinforcers/Attenuators. .
Kucher, K., Kerren, A. (2014). Text Visualization Browser : A Visual Survey of Text Visualization Techniques. Poster Abstracts of IEEE VIS 2014.
Schamp-Bjerede, T., Paradis, C., Kucher, K., Kerren, A., Sahlgren, M. (2014). The Signifier, Signified and Stance : Happy/Sad Emoticons as Emotionizers. Book of Abstracts, IACS 2014. 219-219.
Schamp-Bjerede, T., Paradis, C., Kerren, A., Sahlgren, M., Kucher, K., et al. (2014). Hedges and Tweets : Certainty and Uncertainty in Epistemic Markers in Microblog Feeds. Book of abstracts : 47th Annual Meeting of the Societas Linguistica Europaea 11–14 September 2014, Adam Mickiewicz University, Poznań, Poland. 199-199.
Kucher, K., Weyns, D. (2013). A Self-Adaptive Software System to Support Elderly Care. Proceedings of Modern Information Technology, MIT, 2013.

Doctoral thesis, monograph (Other academic)

Kucher, K. (2019). Sentiment and Stance Visualization of Textual Data for Social Media. Doctoral Thesis. Växjö, Sweden, Linnaeus University Press. 264.