I will extract entities and classify text using ai and nlp models

Got messy text data? I'll turn it into something you can actually use.

I build NLP tools that pull structured info out of raw text names, dates, locations, custom categories and get it into a format that works for you. I've been doing this professionally for over a decade, including building the voice search NLU system at Verizon and a text parser powering a real Chrome extension.

What I do:

• Extract entities (people, places, orgs, dates, or custom types like product names or medical terms) from plain text, PDFs, emails, or scanned docs (OCR included).
• Classify text by sentiment, topic, or custom categories single or multi-label.
• Fine-tune or train a custom model when off-the-shelf tools aren't accurate enough. I'll tell you honestly if you need this or not.
• Clean up messy data spelling errors, inconsistent naming ("SF" vs "San Francisco"), the stuff that breaks most pipelines.

Background:

Master's research on text extraction (published at RANLP, CICLing), then industry work building extraction tools and NLU systems.

Send a data sample before ordering if unsure which package fits happy to take a quick look first.