AI Text Data Analysis

I’m building an AI solution that can take large batches of raw text and return clear, actionable insights—think topic clustering, key-phrase extraction, sentiment scoring and any other analytics that help transform unstructured text into useful business intelligence. The core of the job is data analysis on text data; no images or numerical sets are involved. I already have sample datasets and a broad outline of the questions I need answered. What I need from you is the full technical implementation: model selection or custom architecture, data-preprocessing pipelines, training, evaluation, and a simple API or command-line interface for running the analysis on new text files. Python, PyTorch or TensorFlow, plus familiar NLP libraries (spaCy, Hugging Face, NLTK, or similar) all work for me—use whatever stack you are most comfortable with as long as it delivers accurate, repeatable results and can run on my existing GPU server. Please centre your bid on your experience with similar NLP or text-mining projects. Concrete examples or short explanations of past work are far more useful to me than a generic proposal. If you have reusable modules or proprietary tricks that speed things up, feel free to mention them; I’m open to suggestions on architecture and tool choices as long as the final system is easy for me to maintain. I’m ready to start as soon as I find the right partner and can provide test data immediately.

Project ID: 39749838