NLP Text Classification Algorithm
Budget: ₹12,500 – ₹37,500 INR
I’m building a product that relies on fast, accurate text classification and I need a bespoke natural-language-processing algorithm developed from scratch. The goal is to input raw text and have the model return reliable category labels with clear confidence scores.
Here’s what I’m expecting from you:
• End-to-end code (Python preferred) that trains, validates, and serves the classifier
• A well-commented model architecture using mainstream libraries such as PyTorch, TensorFlow, or scikit-learn—whichever best fits the task
• Reproducible training pipeline: data pre-processing, tokenisation, hyper-parameter tuning, and evaluation metrics (precision, recall, F1)
• A lightweight inference script or API endpoint so the model can slot straight into my existing backend
• Concise documentation explaining setup, usage, and how to retrain with new data
I already have labeled data and will share a sample once we start; I’m also open to your advice on augmenting or cleaning it for better performance.
If you’ve shipped text-classification models before and can point me to examples or quick demos, let’s talk. I’m ready to move ahead as soon as we align on approach and timeline.
Here’s what I’m expecting from you:
• End-to-end code (Python preferred) that trains, validates, and serves the classifier
• A well-commented model architecture using mainstream libraries such as PyTorch, TensorFlow, or scikit-learn—whichever best fits the task
• Reproducible training pipeline: data pre-processing, tokenisation, hyper-parameter tuning, and evaluation metrics (precision, recall, F1)
• A lightweight inference script or API endpoint so the model can slot straight into my existing backend
• Concise documentation explaining setup, usage, and how to retrain with new data
I already have labeled data and will share a sample once we start; I’m also open to your advice on augmenting or cleaning it for better performance.
If you’ve shipped text-classification models before and can point me to examples or quick demos, let’s talk. I’m ready to move ahead as soon as we align on approach and timeline.