Azure Search

Azure Search is a search-as-a-service solution that allows developers to incorporate a sophisticated search experience into web and mobile applications without having to worry about the complexities of full-text search and without having to deploy, maintain or manage any infrastructure

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  1. Approximate Entity Extraction

    Financial institutions are supposed to audit all of their transactions and detect the illegal entities out of free format financial texts by means of a LOB search engine. The list of entities are published by the governmental units such as US OFAC SDN list.

    The regular search engines including Azure Search fails to address this need. The blog post below illustrate what is actually expected.

    "Is Google Really Unrivaled When It Comes to Search?"

    Below is a demo application to test and highlight the features of such search engine addressing this need. Below is a sample query to…

    7 votes
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    0 comments  ·  Enterprise  ·  Flag idea as inappropriate…  ·  Admin →

    Thanks for the feedback. Azure Search now support the ability to extract entities as part of its new “Cognitive Search” capability. If our built in custom entity skills don’t meet your particular needs, you could also create a custom skill with your own entity extraction code.

    Learn more about Cognitive Search in this Ignite Session:

    Here is a complete list of Cognitive Search Resources:

    Luis Cabrera
    Azure Search Product Team

  2. Named Entity Recognition

    Named Entity Recognition (NER) is the ability to extract entities from pieces of text. Entities can be many things but most often they are people, places and temporal derivatives.
    An implementation I have used with SolR is here

    I would like to see something similar in Azure Search.


    Imagine you are an investigator and you have a load of documents which potentially could yield clues. Being able to extract the entities from documents could mean being able to recognise

    With Whom

    Imagine then being able to take those entities and put them into a graph…

    32 votes
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    1 comment  ·  Enterprise  ·  Flag idea as inappropriate…  ·  Admin →
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