I will build an nlp sentiment analysis model
Machine Learning Engineer Python AI Solutions
Über diesen Service
Need to know how your customers really feel? I will build a sentiment analysis model that reads customer reviews and classifies each one as positive or negative, so you can spot problems and track satisfaction without reading thousands of comments by hand. What you get: -
A deep learning (LSTM) sentiment model trained on your labeled review data
- Data cleaning and preprocessing
- Testing and an accuracy report
- Clean Python source code
- Higher packages add a FastAPI endpoint,
-Docker setup and a live Streamlit demo
See my work: I built this exact system, with a live demo you can try before ordering (see my portfolio). What I need from you:
- A CSV file with a review text column and a sentiment label column How it works:
1. You send your data and any requirements
2. I clean it and train the model
3. I test it and share the results
4. I deliver the code, documentation and any API or demo in your package
Tools: Python, TensorFlow/Keras, Scikit-learn, FastAPI, Streamlit, Docker.
Message me before ordering if you are unsure what you need.
Programmiersprache:
Python
•
Colab
•
MLflow
Frameworks:
scikit-learn
•
keras
•
PyTorch
•
Panda
APIs:
Andere
