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There's certainly a good amount of text extraction work in the recruitment industry - that's what the company I work for does and we have several competitors.

There's certainly a good amount of text extraction work in the recruitment industry - that's what the company I work for does and we have several competitors. In those cases, though, you're talking about taking CV/resume files in Word, PDF, HTML, whatever and extracting structured data for populating a recruitment company's databases. It's a bit more advanced than the kind of thing being done here, but it also requires special integration work to match the databases and handle things like candidate deduplication. CV/resume parsing isn't going to be an industry that you can get into unless you can hire some good sales guys and are ready to spend a lot of time figuring out how to integrate with a dozen different database products.

retube 16y ago
Hmm that's extremely interesting. My company has developed technology to extract structured data from business websites, data types such as postal addresses, contact details (person name, phone, fax, email, job title, headshot), company logo, products (product name, prices & descriptions), food and drink on menus, business description, keywords/tags and so on. There's a fair amount of text and language analysis, machine learning, clustering algorithms. We can process a million sites (~100 million pages) in a few days. One of the pivots we were considering for this was Word/pdf docs, specifically CVs. We figured that these big recruitment companies and websites must have to process millions of loosely structured CV documents, and would need to extract specific data from these. I don't know what they do now, but I reckon we could do it pretty well.
- semanticist 16y ago
  What they do now is use my employer's software or one of our competitors. There's several people already moving in this market, so it would be tricky to enter. One of the big things is going to be integrating with recruiter's databases - that's where most of our time is spent these days. That, and widening our language support.

retube 16y ago

Hmm that's extremely interesting. My company has developed technology to extract structured data from business websites, data types such as postal addresses, contact details (person name, phone, fax, email, job title, headshot), company logo, products (product name, prices & descriptions), food and drink on menus, business description, keywords/tags and so on. There's a fair amount of text and language analysis, machine learning, clustering algorithms. We can process a million sites (~100 million pages) in a few days. One of the pivots we were considering for this was Word/pdf docs, specifically CVs. We figured that these big recruitment companies and websites must have to process millions of loosely structured CV documents, and would need to extract specific data from these. I don't know what they do now, but I reckon we could do it pretty well.

semanticist 16y ago
What they do now is use my employer's software or one of our competitors. There's several people already moving in this market, so it would be tricky to enter. One of the big things is going to be integrating with recruiter's databases - that's where most of our time is spent these days. That, and widening our language support.