I will build a custom sentiment analysis model for your customer reviews and feedback
About this Gig
Are your customer reviews piling up with no way to understand what people actually feel about your product?
I will build you a custom sentiment analysis model that automatically classifies your text data reviews, survey responses, social media comments, or support tickets as positive, negative, or neutral. No more reading thousands of responses manually.
Recent project: Built a sentiment classifier on 14,640 real airline tweets achieving 76.54% accuracy across three sentiment classes positive, negative, and neutral.
Programming language:
Python
Frameworks:
Scikit-learn
•
Panda
APIs:
Other
Tools:
Jupyter Notebook
•
Colab
FAQ
What format should my data be in?
CSV or Excel works perfectly. Just make sure you have one column with the text you want analyzed and ideally one column with labels if you have them. If not, I handle that too.
What if I don't have labeled data?
No problem! I use pre-trained models to label your data first, then build a custom model on top of it.
Can you analyze data in languages other than English?
Yes, Hindi and Hinglish are supported. Other languages available on request, just message me before ordering.
Will I be able to use the code myself after delivery?
Absolutely. Everything is fully commented and explained so you or your team can run it, modify it, or build on it independently.
What if the accuracy isn't good enough?
I'll explain exactly why and what can be done to improve it, whether that's more data, a different model, or feature engineering. Transparency is non-negotiable.
Do you sign NDAs?
Yes, for Standard and Premium packages I'm happy to sign a basic NDA to protect your data privacy.

