A Guide to Leveraging BERT for Extractive Text Summarization on Lectures
A technical guide to using BERT for extractive summarization on lectures that outperforms other NLP models
In a recent project, We partnered with online retailer B.B.C. Emporium to design and build a solution that used machine learning and image processing to save Curt 1000s of hours of listing new merchandise and managing them in the backend system.
With the uniqueness and precision needed to generate thousands of custom listings for inventory, they were looking for a way to simplify and automate most of the process to allow them to spend time growing inventory.
Our Solution: Width.ai built internal software with a custom image processing stack that includes deep image recognition and text recognition on images.
This allowed us to automate every step of the product listing process, from auto-editing images, scanning barcodes, to interpreting product types, and still be flexible enough to allow user input if needed. Keeping in mind that many of the product images are incredibly noisy and need custom auto-filtering. On top of the ML stack we built a dashboard that allows users to monitor inventory and manually update to new requirements. The software requires retraining only when new SKUs appear and can be done with a click of a button!
Results: - Running this new software allowed them to reduce their total hours worked, as a company, by 22%, making them much more profitable and allowed them to spend that extra time and money building their business. Everything from product listing (description/price/title/) completely automated after pictures taken, to better manage the product listing cycle, all in a simple dashboard.
Want to see how you can automate 22% of your business with a single machine learning tool? Or see how you can build your own system to automate inventory management using machine learning?
Do what other businesses do:
A little bit about Width.ai: https://www.Width.ai/contact
We are a small machine learning and data science consulting firm focused completely on building business tools to increase revenue for clients. We specialize in natural language and computer vision systems that give businesses a better understanding of their revenue streams and how to optimize them to a place their competitors could only dream of.
A technical guide to using BERT for extractive summarization on lectures that outperforms other NLP models
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