Keyword Extractor is based on language processing with mecab (for japanese) and stanford (for english) taggers. It belongs to automatic keyphrase extraction and can be used to extract keywords or key phrases from the URL or document that user provides. Keyword Extractor breaks down all of the keywords used on a website or in a document into one-word, two-word and three-word keyword lists.
After extracting keywords into lists, you can see all the terms used in the current text. These terms can be used for market research or included into your SEO analysis for your own website. Also, you can process a batch of documents with the found keywords to calculate keyword term frequency-inverse document metrics (TFIDF) between multiple documents.
  • Extract keywords from text field
  • Extract HTML from URL and search keywords in all significant tags
  • TFIDF calculation
  • Download keywords as CSV file
Tech stack
  • HTML5, CSS3, Sass, React, Redux, ES6
  • Java, Kotlin, Spring, Spring Boot
  • Ansible, Docker Compose
  • KeyCloak
  • Mecab, Stanford taggers
Look at our other projects