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Description
Automatic keyword highlighter. Relevant keywords are AI selected & highlighted fully automatically. Features: • Choose from multiple language models: Rapid Automatic Keyword Extraction, Term Frequency (TF-IDF) or Textrank. • Simple UI: A simple and logical user interface. • Relevant keywords are searched and highlighted fully automatically by the language models. • Word preferences: Longer words, shorter words, absolute score, composite score. • Selectable highlight style: Color, bold or underline. • Works with static and dynamic sites. Example use cases: • Read online academic journals, articles, transcripts, reports and other documents quickly with automated keywords highlights. • ADHD and dyslexic users can use the extension to focus and read more easily. Special thanks to: • Mike Williamson (rake-modified), Kerry Rodden (tiny-tfidf), Henry Boldi and Uriel Avalos (text-rank-tag) • arxiv.org, Wikimedia Foundation, Meta Inc, X Corporation (promotional material) • Bunne, C. et al (2024). How to build the virtual cell with artificial intelligence: Priorities and opportunities. https://arxiv.org/html/2409.11654v2 Change log: 1.3: Original release 1.4: Patch to ensure compatibility with multiple academic journal sites 1.5: GUI update 1.6: Updated word selection eGraphene.net
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