Analyze easily text with AI: Keyword Extraction

Intro:

Definition:

History:

Use cases:

  • Online shop: extract keywords from users feedbacks on products to find out which topics have the highest relevance
  • Customer support: keywords extraction helps analyzing customer feedback faster
  • Healthcare: using keywords extraction to facilitate medical reports understanding

The Multi cloud approach

  • First option: multiple open source Keyword Extraction engines exist, they are free to use. Some of them can be performant but it can be complex to set up and use. Using an open source AI library requires data science expertise. Moreover, you will need to set up a server internally to run open source engines.
  • Second option: you can use engines from your cloud provider. Actually, cloud providers like Google Cloud, AWS, Microsoft Azure, Alibaba Cloud or IBM Watson are all providing multiple AI engines often including Keyword Extraction. This option looks very easy because you can stay in a known environment where you might have abilities in your company and the engine is ready-to-use.
  • you may not know every performant providers on the market
  • you need to subscribe and contract with all providers
  • you need to master each providers API documentation
  • you need to check their pricings
  • You need to process data in each engine to realize the benchmark

Test:

Eden AI python SDK for Keyword Extraction
Eden AI python SDK result for Keyword Extraction
Eden AI Platform for Keyword Extraction
Eden AI Platform results for Keyword Extraction

Conclusion:

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