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Add TF-IDF abbreviation (pkeilbach#176)
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SponsoredByPuma authored Nov 29, 2024
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2 changes: 1 addition & 1 deletion docs/lectures/preprocessing.md
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Expand Up @@ -100,7 +100,7 @@ The color indicates whether the pipeline step is relevant for the course.[^2][^3

4. **Feature Engineering:**
Feature engineering involves transforming the pre-processed text into numerical representations that machine learning models can work with.
This could include techniques like TF-IDF (Term Frequency-Inverse Document Frequency) or word embeddings like Word2Vec or GloVe.
This could include techniques like TF-IDF or word embeddings like Word2Vec or GloVe.

5. **Modeling:**
In this step, you select and train a machine learning or deep learning model that suits your NLP task, such as text classification, NER, or machine translation.
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1 change: 1 addition & 0 deletions includes/abbreviations.md
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<!-- markdownlint-disable MD041 -->
*[HTWG]: Hochschule Konstanz Technik, Wirtschaft und Gestaltung
*[NER]: Named Entity Recognition
*[TF-IDF]: Term Frequency-Inverse Document Frequency

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