extracting-keywordslisted

# Extracting Keywords Extract keywords from text using YAKE (Yet Another Keyword Extractor), an unsupervised statistical keyword extraction algorithm. ## Installation **First time only:** Install YAKE with optimized dependencies to avoid unnecessary downloads. ```bash cd /home/claude uv venv yake-venv --system-site-packages uv pip install yake --python yake-venv/bin/python --no-deps uv pip install jellyfish segtok regex --python yake-venv/bin/python ``` This reuses system packages (numpy, networkx) instead of downloading them (~0.08s vs ~5s). ## Stopwords Configuration **Built-in YAKE stopwords (34 languages):** Use `lan="<code>"` parameter - See Parameters section below for all 34 supported language codes - English (`lan="en"`) is the default **Custom domain stopwords (bundled in `assets/`):** **AI/ML:** `stopwords_ai.txt` - English stopwords + 783 AI/ML domain-specific terms (1357 total) - Filters AI/ML methodology noise (model, training, network, algorithm, parameter) - Filters ML boilerplate (dataset, baseline, benchmark, experiment, evaluation) - Filters technical terms (transformer, embedding, attention, optimization, inference) - Includes full lemmatization (train/trains/trained/training/trainer) - Use for AI/ML papers, technical reports, machine learning literature - **Performance impact:** +4-5% runtime vs English stopwords **Life Sciences:** `stopwords_ls.txt` - English stopwords + 719 life sciences domain-specific terms (1293 total) - Filters research met