https://github.com/isabelleysseric/question-answering

Building a Natural Language Question & Answer Search Engine with corpus in Python language.
https://github.com/isabelleysseric/question-answering

corpus deep-learning nlp qa question-answering spacy whoosh

Last synced: about 2 months ago
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Building a Natural Language Question & Answer Search Engine with corpus in Python language.

• Host: GitHub
• URL: https://github.com/isabelleysseric/question-answering
• Owner: isabelleysseric
• Created: 2022-09-25T20:48:48.000Z (over 2 years ago)
• Default Branch: master
• Last Pushed: 2024-09-11T03:38:48.000Z (4 months ago)
• Last Synced: 2024-09-11T09:29:09.369Z (4 months ago)
• Topics: corpus, deep-learning, nlp, qa, question-answering, spacy, whoosh
• Language: Python
• Homepage:
• Size: 91 MB
• Stars: 0
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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**Teammates**:

- Isabelle Eysseric

- Nicolas Garde

- David Poisson







This program uses Keras to create and use the Deep Learning model.  

You can install the necessary environment using conda via the command.  

```

conda create --name  --file requirements.txt

```

or else

```

conda env create -f environment.yml

```

# How to use it

The program is executed with the command.

```

python main.py

```

It is possible to add the argument -n to define the maximum number of documents to return. Example:

```

python main.py -n 5

```

It will return the 5 most likely documents to answer the question.

Once the program is executed, a prompt will be displayed where you just have to fill in the question.

To close the prompt and the program, you can enter 'exit' in the prompt.