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Hi there ☕ I am Hanna

I study Computer Sciences in Turku University. I love to code with Python and R and things get even more exciting if I get to visualize the things I code.

I have some five and a half years of experience working with quantitative data and questionnaire formulas. It often seemed that people wanted to write down what they had in their mind instead of ticking the boxes in the questionnaire formulas. But how to analyze all that text? When searching for the answer to this question I came across with NLP, Natural Language Processing. I could informally say NLP means processing spoken and written human language programmatically and trying to find the essential in it or relations in it. Just how cool is that?!

And then came along neural networks, machine learning and modeling. So these are the things I would love to do in the future. If you check out my public repositories you will find out I have not abandoned pure number crunching either.

Hanna Kitti's Projects

deep_learning_in_langtech_course icon deep_learning_in_langtech_course

Course materials for the 2018 course "TKO_2101 Natural Language Processing" renamed from 2019 onwards to "TKO_8965 Deep Learning in Human Language Technology". University of Turku.

minisom icon minisom

:red_circle: MiniSom is a minimalistic implementation of the Self Organizing Maps

ner_data icon ner_data

Data for UTU course Introduction to Natural Language Processing

nlpwithr icon nlpwithr

Code for R-Ladies meetup about using R for NLP

shap icon shap

A game theoretic approach to explain the output of any machine learning model.

transformers icon transformers

🤗Transformers: State-of-the-art Natural Language Processing for Pytorch, TensorFlow, and JAX.

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