I will build an nlp model for sentiment analysis and text classification
About this Gig
Have text data that needs to be automatically categorized?
I'll build a custom AI model that reads your text and classifies it into whatever categories you need support tickets, emails, reviews, survey responses, or any other text.
Specialized in sentiment analysis, email categorization, and customer feedback classification using DistilBERT and Python.
You send me your labeled text data, I build and deliver a working model trained specifically on your data. No technical knowledge needed on your end.
What you get:
- Custom text classification model trained on your exact data
- Clear accuracy report showing how well it works
- Clean Python code you can reuse
- 1 revision included
What I need from you:
- Your text data with labels
- What categories you want to classify into
Message me first if you're unsure I'll tell you honestly if your project is a good fit.
Programming language:
Python
•
Colab
Frameworks:
Scikit-learn
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PyTorch
•
Panda
Tools:
Jupyter Notebook
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TensorFlow
•
Colab
My Portfolio
Other Data Science & ML Services I Offer
FAQ
What format should my text dataset be in?
CSV format works best with a text column and a label column. For example, a review column and a sentiment column with positive or negative labels.
How much data do I need?
A minimum of 500-1000 labeled examples is recommended for good results. More data generally means better accuracy.
