🕷️️ Job Radar • SCRAPING

freelancer.com 2026-04-14 🟠

🔹 Email NLP Classifier & Named Entity Recognition
👤 Client: 🇮🇳 Mumbai, India Member since 2020-09-20
💰 Price: $142 Average bid
🚩 Problem: Automatically process and categorize incoming emails while extracting relevant entities for business intelligence.
📦 Existing: [Not specified]

Specifications:

[Target] Email classification into predefined categories with high accuracy.
[Method] Use Python, TensorFlow/PyTorch or Scikit-learn for model training and feature extraction.
[UI/UX] Not applicable (backend service).
[Stack] Python, TensorFlow/PyTorch, Scikit-learn, Docker, REST/gRPC API, cloud deployment.
[Security] Ensure data privacy and security during processing and storage.
[Format] JSON for output formats.

Workflow:

1. Ingest raw emails using a pre-processing pipeline to clean and tokenize text.
2. Explore the dataset to identify useful features for classification and NER tasks.
3. Train text-classification model with TensorFlow/PyTorch or Scikit-learn, evaluate performance (precision, recall, F1).
4. Train Named Entity Recognition model, evaluate performance.
5. Package models into an inference service exposed as REST/gRPC endpoint, containerized for cloud deployment.
6. Document setup, retraining process, and expected input/output formats.