AI Text Data Analysis
Publicada el 2026-07-24
Descripción de la oferta
I have several text-based datasets that need to be explored and mined for insight. The core of the job is AI-driven data analysis: cleaning the text, extracting patterns, and presenting clear findings I can act on. While my immediate priority is to make sense of the raw text, I’m also open to deeper layers—sentiment extraction, topic discovery, or even full classification—once the preliminary analysis is solid. You are free to pick the most efficient workflow, but I’m already working in Python, so tools such as pandas, scikit-learn, spaCy, NLTK, or Hugging Face transformers fit naturally into the project. Feel free to recommend alternatives if they speed things up or improve accuracy. Deliverables • Reproducible code (Jupyter notebook or .py scripts) • A concise technical write-up summarising methods and key results • Visualisations or tables that highlight the insights in an easy-to-digest format I’ll share sample data and any domain context once we start; I’d like to iterate quickly, so please outline your approach, estimated timeline, and any previous text-analysis work you can point to.
Skills
Fuente original: freelancer