ML / NLP for Database Classifying
Budget: $25 – $50 USD
I have a database with 30k+ companies, would like to use ML / NLP for classification.
The plan is to add a primary category for each company, as well as any relevant sub-categories — which will reference a matrix-style spreadsheet that I’ve created.
Each company has a summary description, usually 2-3 sentences. This content would be reference material to select primary category & sub-categories.
There are no labels for training data assigned to the companies, so it would likely have to be an unsupervised algorithm or some type of keyword weighting.
I could also manually go through the first few hundred companies and categorize, if that would be helpful. I’m open to recommendations for the best approach to take.
If interested, please include a brief overview of how you would handle this project. I can provide a sample of the database for your review.
thank you
The plan is to add a primary category for each company, as well as any relevant sub-categories — which will reference a matrix-style spreadsheet that I’ve created.
Each company has a summary description, usually 2-3 sentences. This content would be reference material to select primary category & sub-categories.
There are no labels for training data assigned to the companies, so it would likely have to be an unsupervised algorithm or some type of keyword weighting.
I could also manually go through the first few hundred companies and categorize, if that would be helpful. I’m open to recommendations for the best approach to take.
If interested, please include a brief overview of how you would handle this project. I can provide a sample of the database for your review.
thank you