Plan Szkolenia

Day 1 – Introduction, Text Data, Preprocessing
1. Introduction to NLP
2. Collecting and Managing Text Data
3. Linguistic Basics & Text Preprocessing
4. Building Preprocessing Pipeline
 

Day 2 – Text Representation, Classification, Clustering, Topic Modeling
1. Text Representation
2. Text Classification
3. Document Clustering and Dimensionality Reduction
4. Topic Modeling and Interpreting Topics
 

Day 3 – Embeddings, Modern NLP, End-to-End Project
1. Embeddings and Modern Text Representations
2. Practical NLP with spaCy & Hugging Face (Named Entity Recognition (NER) and
Sentiment analysis)
3. Intro to Transformers
4. End-to-End Project

 21 godzin

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