I will classify and analyze text data with ai sentiment analysis
Python Data Scientist, Machine Learning and APIs
About this Gig
Want to know what your customers or audience actually feel not just guess from a handful of reviews?
I analyze text data using both rule-based and transformer-based sentiment models, comparing approaches to give you results you can actually trust not just a single black-box score.
What I Offer:
- Sentiment classification (positive/negative/neutral)
- Text classification using ML and transformer-based models
- Text cleaning and preprocessing
- Word clouds and sentiment distribution visualizations
- Error analysis what the model gets wrong, and why
What You'll Receive:
- Sentiment breakdown with visual charts
- Predictions delivered in CSV/Excel
- Reusable Python scripts or Jupyter Notebook
Why Work with Me:
- I compare multiple methods, not just one model, so you know the result is reliable
- Honest about where sentiment analysis struggles (sarcasm, neutral-vs-noise)
- Clear communication and revisions until you're satisfied
(Message me before ordering so I can confirm your dataset size and turnaround time.)
My Portfolio
Other Data Science & ML Services I Offer
FAQ
What type of text can you analyze?
Social media posts, customer reviews, survey responses, product feedback, research data, or any other English text dataset.
Do I need to provide the dataset?
Yes, ideally you provide your own dataset in CSV, Excel, or text format. If you don't have one, I can work with a public dataset for demonstration purposes.
What outputs will I receive?
A sentiment breakdown (positive/negative/neutral), visualizations of results, and predictions exported in CSV or Excel.
Will I get the Python code as well?
Yes. I deliver clean, reusable Python scripts or Jupyter Notebooks so you can retrain or extend the analysis later.
Can you handle large datasets?
Yes, I can preprocess and analyze large datasets efficiently. For very large or complex projects, message me first so I can confirm the timeline.
How accurate are the results?
I use proper preprocessing and, where appropriate, transformer-based models to maximize accuracy — with evaluation metrics provided so you can judge reliability yourself, not just take my word for it.
Can you customize the analysis for my needs?
Yes — multi-class classification, domain-specific sentiment analysis, or tailored visualizations can all be adjusted to your requirements.
What if my project needs something outside these packages?
Message me with your requirements and I can scope a custom offer.

