Browse categories
Explore
Fiverr Pro
English
$
USD
I will create a text classification model for feedback analysis
About this Gig
I will build a custom text classification system for analyzing customer feedback and reviews.
What I deliver:
- Custom NLP model trained on your data
- Clean Python code with documentation
- Visual insights (word frequency analysis, distribution charts)
- Batch processing capability for large datasets
- Performance metrics and evaluation report
My approach:
1. Understand your specific classification needs
2. Preprocess and prepare your text data
3. Build and train machine learning model
4. Test and optimize performance
5. Deliver with complete documentation
Recent work: Built a review classification system achieving strong performance on 50,000 sample dataset with TF-IDF and machine learning techniques.
Tech stack: Python, Scikit-learn, NLP libraries, data visualization tools
Ideal for: E-commerce businesses, SaaS platforms, market research, customer feedback systems
Note: I analyze existing text data. I do not create, write, or generate fake reviews.
Programming language:
Python
Frameworks:
Scikit-learn
Other Data Science & ML Services I Offer
FAQ
What accuracy can I expect?
Typically 85-92% accuracy depending on your data quality. My recent project achieved 90.14% with 83.7% confidence.
What data format do you need?
CSV or Excel with a text column (reviews/comments). I handle encoding issues automatically.
Do you provide a web interface?
Standard and Premium packages include an interactive Streamlit web app where you can upload files and download results.
Can you handle large volumes?
Yes! My system processes 50,000+ reviews in under a minute. Perfect for businesses with high review volumes.
