Intermediate
NLP and Turkish Text Mining
Preprocessing, sentiment analysis and building core NLP models with Turkish text data.
Request This TrainingWho It's For
Suitable for both academic researchers and corporate teams.
Prerequisites
- The "Data Analysis with Python" course or equivalent experience
Learning Outcomes
- Turkish text preprocessing (cleaning, stemming)
- Fundamentals of TF-IDF and word embeddings
- Building a sentiment analysis model
- Using pre-trained Turkish language models (BERTurk, etc.)
Program
1
Text Preprocessing
- Challenges specific to Turkish
- Cleaning and normalization
2
Classical NLP
- TF-IDF
- Classification with bag-of-words
3
Modern NLP
- Word embeddings
- Pre-trained Turkish BERT models
Tools Used
Python (NLTK/Zemberek, scikit-learn, Hugging Face)
Frequently Asked Questions
Yes, working with a dataset you collected or provide yourself is the preferred approach.
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