Content Management

We are overloaded with information -- even with Google's powerful search capabilities, it can still take significant effort to sift through all the content to find the pieces most relevant to us.

A common use case for our text APIs includes content recommendations and filtering, so we've put together a couple of tutorials to help you build these tools!
Check them out:

  • Content Recommendation Tutorial
    Learn how to create an article recommendation system that uses Twitter data to identify interests and articles about matching topics. Built in Python with indico's Text Tags API.
  • Creating Personalized Content Filters 
    Learn how to create a personalized content filter that only shows you articles that you’ve deemed are interesting to you. Using CrowdLabel and Custom Collections, you'll train this model with a small unlabeled dataset of 30 articles -- without having to write any code.

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