I will build NLP text classification and sentiment analysis models in Python
Service Description
Need to classify, analyze or understand text data? I build practical NLP solutions in Python and explain the results clearly.
I hold an MS in Data Science (HSE University) and my Master's research focused on detecting human vs GPT-4o text using semantic representations in low-resource languages.
WHAT I CAN BUILD
- Text classification (spam, topic, intent, category labels)
- Sentiment analysis for reviews, surveys and social media text
- Human-written vs AI-generated text detection (research and study projects)
- Text cleaning, tokenization, embeddings and keyword/topic analysis
- Evaluation with accuracy, precision, recall and F1 plus a short written report
WHAT YOU GET
- Clean, commented Python notebook or script (Jupyter / Google Colab)
- Trained model and evaluation results
- Short report explaining method, results and limits
- Instructions to re-run the work
Best for students, researchers, startups and small teams with a text dataset. Message me with a sample of your data and your goal so I can confirm scope and price first.
Technology Used
Python, Pandas, scikit-learn, PyTorch, Hugging Face Transformers, NLTK, spaCy, Jupyter, Google Colab
Frequently Asked Questions
Q: Can you work with languages other than English?
A: Yes, I have research experience with low-resource languages (Lao, Luxembourgish). Tell me the language and I will confirm feasibility.
Q: Will I get the code?
A: Yes, you receive the full notebook or script and the trained model files.
Q: How accurate will the model be?
A: It depends on your data quality and size. I report honest metrics and never promise a fixed accuracy before seeing the data.
Q: Do you handle private data safely?
A: I only use your data for your project and delete it after delivery on request.
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