https://github.com/ilieschibane/text-combining

A final year master project that consist of creating a text combining api
https://github.com/ilieschibane/text-combining

deep-learning django django-rest-framework docker machine-learning mongodb nlp python pytorch rest-api tensorflow text-combining text-mining transformers

Last synced: 8 months ago
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A final year master project that consist of creating a text combining api

• Host: GitHub
• URL: https://github.com/ilieschibane/text-combining
• Owner: IliesChibane
• License: mit
• Created: 2023-03-10T22:23:49.000Z (over 3 years ago)
• Default Branch: main
• Last Pushed: 2023-06-23T01:48:17.000Z (almost 3 years ago)
• Last Synced: 2025-04-04T02:22:41.937Z (about 1 year ago)
• Topics: deep-learning, django, django-rest-framework, docker, machine-learning, mongodb, nlp, python, pytorch, rest-api, tensorflow, text-combining, text-mining, transformers
• Language: Jupyter Notebook
• Homepage:
• Size: 142 MB
• Stars: 4
• Watchers: 1
• Forks: 1
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          
# Text mining tools for developing text combining methods

This project aims to generate meaningful and high-quality text by combining multiple sources. The procedure used to achieve this result is called Text Combining.

In this project, we explore different techniques that are related to NLP and Text Mining. This project has many use cases, such as improving and optimizing the inferences of other text processing operations. For instance, generating text tasks such as abstractive summarization, translation, or automatic text/article generation.

Moreover, this project can also be used to correct the inferences of Optical Character Recognition and Speech-To-Text to optimize the efficiency of Artificial Intelligence APIs. This solution also helps mitigate problems related to noise present in images and audio recordings, which can be useful for improving a set of faulty texts, such as historical texts, corrupted, or poorly translated ones.