Microsoft Entity Extraction -Introduction

Microsoft Entity Extraction - An Overview

Extract Insights And Relationships From Text

Discover insights in unstructured text using natural language processing - no machine learning expertise required. Identify key phrases and entities such as people, places and organizations to understand common topics and trends. Gain a deeper understanding of customer opinions with sentiment analysis. Evaluate text in a wide range of languages.

Identify And Categorize Important Concepts

Classify a broad range of entities in text, such as people, places, organizations, date/time and percentages, using named entity recognition. Detect and extract more than 100 types of personally identifiable information (PII) and more than 80 types of protected health information (PHI) in documents. Speed your time to insights with prebuilt entity extraction models.

Extract Key Phrases In Unstructured Text

Quickly evaluate and identify the main points in unstructured text. Get a list of relevant phrases that best describe the subject of each record using key phrase extraction. Easily pull and organize information to make sense of important topics and trends.

Better Understand Customer Perception

Detect positive and negative sentiment in social media, customer reviews and other sources to get a pulse on your brand.

Prerequisites

Create a Microsoft Account to get the service URL and the Key by using the following link:

https://azure.microsoft.com/en-in/services/cognitive-services/text-analytics/#features

The following will be required to be keyed in for all activities under the Microsoft Entity Extraction package.

Service URL:  https://westcentralus.api.cognitive.microsoft.com/text/analytics

Key:              ebb02143debe4afe8b1673be4656beda