Python LDA Analysis on PDF Documents
Budget: ₹1,500 – ₹12,500 INR
I am in need of a Python expert who proficiently understands the application of LDA (Latent Dirichlet Allocation) on a dataset ranging from 1GB to 10GB. The data is stored in PDF documents and a specific algorithm, which will be provided, should be implemented. Few specific requirements include:
- Capable of creating a reusable model that will allow a non-coding person to use it with relative ease.
- This model should have the ability to load new data onto it.
- An ability to visualize results post LDA analysis is expected out of this model.
Ideal candidates should have a firm grasp of Python, experience in implementing LDA, and a knack for creating user-friendly models. A background in data visualization would be appreciated. This project demands not just technical skills, but also an intuitive understanding of user interaction to deliver a usable product.
- Capable of creating a reusable model that will allow a non-coding person to use it with relative ease.
- This model should have the ability to load new data onto it.
- An ability to visualize results post LDA analysis is expected out of this model.
Ideal candidates should have a firm grasp of Python, experience in implementing LDA, and a knack for creating user-friendly models. A background in data visualization would be appreciated. This project demands not just technical skills, but also an intuitive understanding of user interaction to deliver a usable product.