Automatic Keyword Highlig

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