Text representation methods

Natural Language Processing is a particular branch of Machine Learning which has some specific algorithms. Textual data typically requires some sort of preprocessing for structuring it. Our workshops are going to present different methods of text representation to give the participants an overview of the available techniques and some intuition about choosing a proper method given problem.

Duration: 1 day
Level: intermediate

Text representation methods

Nearest term:
- ,  2019 Kraków

Group Discounts:

1+2 friends
1000.00PLN   30% off
1+1 friend
1000.00PLN   20% off
Individual measure - Kontaktiere uns

    • Prerequisites

      • Good knowledge of Python programming
      • Some experience with Docker
      • At least basic familiarity with ML and NLP concepts

    • Outcomes

      • Access to exclusive materials covering the scope of the workshops
      • A general understanding of processing textual data with Machine Learning algorithms
      • An ability to implement an NLP project with presented methods

    • Agenda

      • Bag of words, TFIDF
      • An introduction to distributed representation
      • Word2vec
      • BERT, ELMo


Trainer image

Kacper Łukawski

Data Science Lead

Kacper Łukawski is Data Engineer and Tech Lead at Codete. Currently involved in Big Data projects and internal research in the field of Machine Learning. An enthusiast of applying data science in various sectors.

Workshop Schedule

- ,  2019
- ,  2019



contact person

Olga Sroka

Workshop Advisor

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contact person

Maciej Szczepański

Workshop Advisor

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