NLP

Case study

Receipt Data Extraction with Tanger Outlets

Tanger Outlets is an industry leader in ownership and management of outlet shopping destinations and manages a customer loyalty program in which they capture images of customer receipts.

Case study

NLP for Audio Search

KUNGFU.AI executed model research prototyping, leveraging Google’s Speech-to-Text feature converting audio data into machine legible text. Additionally, KUNGFU.AI explored the efficacy of recent advancements in transformers, a deep learning technique that proved promising in Natural Language Processing (NLP) tasks.

Case study

NLP for Document Integrity

KUNGFU.AI built, trained, and deployed a Named Entity Recognition model using spaCy which improved the insurance claims process as well as provide input for additional prediction tasks benefiting patients, hospitals, insurance providers, and financial institutions.

Case study

Recommendation Engine

Built a hybrid recommendation system that had a two embedding matching algorithm. It use data on users and properties to make more accurate recommendations.

Case study

Proposal Vetting

KUNGFU.AI designed and trained a deep learning NLP model to automatically review and predict the grade of conference proposals. The model examines multiple features for each proposal including, title, description, track name, target audience description, speaker names, emails, and Twitter follower counts.

Case study

Price Comparison

Developed a chrome extension for mobile web browsers that extract on-site data, mapping to product information from third-party sites. That data was processed using Random Forrest and NLP classification models to output lower price product comparisons. This new approach leverages a real-time human-in-the-loop system to maximize accuracy.

Case study

Art Marketplace

‍KUNGFU.AI built a recommendation model trained on a taste graph that mapped vectors of taste onto properties of artists and open-ended questionnaires which lead to an increase in conversions

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