https://github.com/levitation-opensource/legalsearch
A prototype legal text search engine that uses a semantic search algorithm in order to find related keywords and sort the results by relevance.
https://github.com/levitation-opensource/legalsearch
gensim gensim-doc2vec gensim-word2vec natural-language-processing naturallanguageprocessing nlp nlp-machine-learning search-algorithm search-in-text searching-algorithm semantic-search-algorithm word-embedding word-embeddings
Last synced: 7 months ago
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A prototype legal text search engine that uses a semantic search algorithm in order to find related keywords and sort the results by relevance.
- Host: GitHub
- URL: https://github.com/levitation-opensource/legalsearch
- Owner: levitation-opensource
- Created: 2017-01-30T16:11:54.000Z (over 8 years ago)
- Default Branch: master
- Last Pushed: 2020-08-19T19:14:31.000Z (about 5 years ago)
- Last Synced: 2025-01-23T07:28:34.478Z (9 months ago)
- Topics: gensim, gensim-doc2vec, gensim-word2vec, natural-language-processing, naturallanguageprocessing, nlp, nlp-machine-learning, search-algorithm, search-in-text, searching-algorithm, semantic-search-algorithm, word-embedding, word-embeddings
- Language: Python
- Homepage: http://www.deeplaw.ai
- Size: 27.3 MB
- Stars: 3
- Watchers: 5
- Forks: 1
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
This is a prototype legal text search engine that uses semantic search algorithm in order to find related keywords and sort the results by relevance.
Updated live version of the code, and other thematically related developments, are publicly accessible at http://www.deeplaw.ai/
For program description, see "Eesti ja EL õigusallikate tekstikorpuse rakendamine viidete otsinguks.pdf"
Latest compiled demo of code published here can be downloaded from http://www.simplify.ee/legalsearch/LegalSearchText.zip
For development, see "development_instructions.txt"
[](https://github.com/igrigorik/ga-beacon)