Description
Is your enhancement related to a problem? Please describe.
For publishers with a high volume of posts created, it's easy to neglect meta tags and descriptions. We currently recommend setting a systematic fallback based on content type and title but it would be a lot better to have something contextual - ideally based on target keywords from the title and then from the content and setting rules (e.g., "no more than 60 words"). This would be a huge value add for large publishers who usually end up having to manually update meta data or utilize a sub-optimal systematic solution.
Describe the solution you'd like
- review Azure Text Analytics API for applicability
- integrate Text Analytics (or relevant API) as additional option within Language Processing
- if not utilizing an API from Azure or Watson, create new service provider
- check to see if a post has missing meta description or title and if it does populate it with what feels like a good summary within the recommended meta field length
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