Johannes Lindén
Doktorand|Doctoral Student
- Tjänstetitel: Doktorand
- Annan titel: Big Data Analysis
- Avdelning: Institutionen för informationssystem och –teknologi (IST)
- Telefon arbete: 010-142 80 69
- E-postadress: Johannes.Linden@miun.se
- Rumsnummer: L428
- Ort: Sundsvall
- Forskningscentra: Sensible Things that Communicate
- Anställd vid ämnet: Datateknik, Elektronik, Grafisk design, Matematik/Tillämpad matematik
PhD in Natural Language Processing
I am currently doing my PhD in Big Data Analysis with focus on understanding and processing unformated texts.
Bakgrund
I was born in 1993 and raised in Gothenburg and educated as a Computer science engineer in Sundsvall. I love challanges and never want to give up the search for a solution to the facing problems. Having fun is also a part of my life and I enjoy the exitement of graphical programming where I can see the changes while developing, and combined with the theoretical parts I beleive anything is possible.
In the spare time I usualy do tennis, reading playing with friends and paintings
Forskningsområden
Text analysis
- Understanding unformated text
- Processing text
- Generating text
Övrigt
I just started my PhD so I don't have a lot to write here.
Extra kontaktinformation
Publikationer
Artiklar i tidskrifter
Lindén, J. , Wang, X. , Forsström, S.
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Zhang, T. (2020). Productify news article classification model with Sagemaker. Advances in Science, Technology and Engineering Systems, vol. 5: 2, ss. 13-18.
Konferensbidrag
Lindén, J. , Wang, X. , Forsström, S.
&
Zhang, T. (2019). Bilingual Auto-Categorization Comparison of two LSTM Text Classifiers.
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2019 8th International Congress on Advanced Applied Informatics (IIAI-AAI).
Lindén, J. , Forsström, S.
&
Zhang, T. (2018). Evaluating Combinations of Classification Algorithms and Paragraph Vectors for News Article Classification.
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Proceedings of the 2018 Federated Conference on Computer Science and Information Systems. Warzaw : (Annals of Computer Science and Information Systems). S. 489--495.