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English
$
USD
I will classify and analyze text data with ai sentiment analysis
Python Data Scientist, Machine Learning and APIs
Data Scientist
I'm a dedicated freelancer focused on data analysis and machine learning. I help clients clean, analyze, and interpret data to extract meaningful insights and build practical, data-driv...
About this Gig
Know what your customers actually think backed by data, not guesswork.
I use machine learning to read through your reviews, tweets, or feedback and tell you exactly how people feel positive, negative, or neutral with numbers to back it up, not just a gut feeling. I test a couple of different models side by side and pick whichever performs best on your specific data, rather than relying on just one method.
In one project, I analyzed 74,000 tweets and improved the accuracy of the results from 63% to over 90% by training a model specifically on that data instead of using an off-the-shelf tool.
What's Included:
- Sentiment breakdown (positive/negative/neutral)
- Custom categories if you need more specific labels (e.g. complaints, praise, questions)
- Data cleaning so messy or inconsistent text doesn't skew results
- Visual charts and word clouds showing what people are saying most
- A breakdown of where the results are less certain, and why
Deliverables:
- A clear sentiment summary what people feel, and why
- Visual breakdown (charts, sentiment distribution, word cloud)
- Full labeled dataset (CSV/Excel) included for your own use
Why Work With Me:
- I test more than one method and compare them, so the r
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.
