I have a dataset which contains many features. Each record is company that has many features.
Keywords - data, big data, tableau, dashboards, etc.
Industry - Information Technology
Sub-Industry - Data Visualization
Total Funding - $150,000,000
I want to create a similarity metric between multiple companies, incorporating both doc2vec embeddings trained on the keyword lists as well as the additional features listed. I had a hard time searching/finding papers that did something like this. Any ideas?