I will build a sentiment analysis tool for reviews comments and feedback using nlp
AI Engineer specializing in RAG Chatbots and NLP Solutions
About this Gig
Do you know how your customers really feel about your product?
I will build a custom sentiment analysis tool that automatically classifies text as positive, negative, or neutral trained on your actual data, not generic datasets.
I built a real sentiment system trained on 3,700+ samples achieving 88% test accuracy using TF-IDF and Logistic Regression, deployed on AWS EC2 with Docker and tracked with MLflow. Every number here is real.
What I will build for you:
- Custom NLP model trained on your data
- Positive, negative and neutral classification
- FastAPI endpoint for real-time predictions
- Clean Python source code you fully own
- Accuracy report with performance metrics
Perfect for:
- eCommerce stores analyzing customer reviews
- YouTubers tracking comment sentiment
- Businesses monitoring brand feedback
- Startups measuring product satisfaction
Message me before ordering I will confirm I can deliver exactly what you need.
Programming language:
Python
Frameworks:
Scikit-learn
•
Keras
•
PyTorch
•
Panda
APIs:
Other
Tools:
Jupyter Notebook
•
MLflow
•
Colab
•
Other
My Portfolio
FAQ
What data do I need to provide?
Any text data such as reviews, comments or feedback in CSV or Excel format. Minimum 500 samples recommended for good accuracy.
Will I own the source code?
Yes. Full Python source code is delivered with every package. No subscriptions or hidden costs.
How accurate will the model be?
Accuracy depends on your data quality. On my own project I achieved 88% accuracy. I will share a full performance report with every delivery.
Can you analyze reviews in other languages?
Currently I work best with English text. For other languages please message me first so I can confirm.
