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Context-based-Query-Answering-for-Stackoverflow-Q-A

About

Implementation of Context-based Query Answering using LDA and LSI. This model will generate and provide answers on online forums such as Stackoverflow based on the pattern of previous answers given by users.

Dataset Used

The Stackoverflow, Security & Sustainability - 10M QAs dataset from Kaggle

Workflow

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Technologies Used

  1. Python - For modelling LDA and LSI
  2. MongoDB - For pre-preocessing the data
  3. Anvil - For creating the GUI

Steps to Run the GUI

  1. Download the file ContextBased_QueryAnswering.ipynb
  2. Download all the files in the Saved Models folder and store it in the same folder as the .ipynb file
  3. Run all the cells in the .ipynb file
  4. The very last cell will have a link to the Anvil GUI. Click on this
  5. Once the GUI window is open, type a question in the text box and click on the FIND ANSWER button to find the best answer

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