https://github.com/rubix982/vects
An implementation for vector space models used in Information Retrieval for ranked retrieval. Uses TF, IDF, and normalizing on a textual dataset, mostly corpus from novels.
https://github.com/rubix982/vects
docker docker-compose fastapi information-retrieval python ranked-retrieval reactjs
Last synced: 2 months ago
JSON representation
An implementation for vector space models used in Information Retrieval for ranked retrieval. Uses TF, IDF, and normalizing on a textual dataset, mostly corpus from novels.
- Host: GitHub
- URL: https://github.com/rubix982/vects
- Owner: Rubix982
- License: mit
- Created: 2021-04-29T19:47:18.000Z (about 5 years ago)
- Default Branch: main
- Last Pushed: 2023-12-17T05:32:54.000Z (over 2 years ago)
- Last Synced: 2025-07-07T07:43:47.381Z (12 months ago)
- Topics: docker, docker-compose, fastapi, information-retrieval, python, ranked-retrieval, reactjs
- Language: Python
- Homepage: vectors.vercel.app
- Size: 1.89 MB
- Stars: 1
- Watchers: 1
- Forks: 1
- Open Issues: 1
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
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[![MIT License][license-shield]][license-url]
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## To Use
Go int `server`, and run the `src/Test.py` file with `python3 src/Test.py`, it should run all the test cases given in the assignment.
## Commands
### Pushing to heroku
Git Substree command,
```bash
git subtree push --prefix server heroku master
```
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[stars-url]: https://github.com/Rubix982/Information-Retrieval---Vector-Space-Model/stargazers
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[license-url]: https://github.com/Rubix982/Information-Retrieval---Vector-Space-Model/blob/master/LICENSE.txt
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[linkedin-url]: https://www.linkedin.com/in/saif-ul-islam-93786b187/
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