85k_germany.txt Access

: Use pre-trained German language models (like BERT-base-german ) to generate dense vector representations that capture semantic meaning.

: Track the total number of words per entry to help with tasks like sentiment or length-based classification. 85k_germany.txt

: If your TF-IDF vectors are too large, apply PCA to reduce the feature space while keeping the most important information. 85k_germany.txt

: Reduce German words to their root form (e.g., "gegangen" to "gehen") to consolidate features. 85k_germany.txt

: A strong baseline that highlights words that are frequent in a specific document but rare across the entire dataset.