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Rich Hagarty edited this page Mar 3, 2018 · 15 revisions

Short Name

Analyzing SMS messages with Watson Knowledge Studio

Short Description

This code pattern demonstrates how Watson Knowledge Studio can be used to build a custom model to better categorize SMS message content. This model supplements the capabilities already provided by Watson Natural Language Understanding.

Offering Type

Cognitive

Introduction

In this developer journey we will guide to develop solution using wks-nlu. Post understanding this wiki user will be able to perform the below tasks.

  1. Using Watson Knowledge Studio user can create and train the machine learning model using human annotated documents.
  2. User will be able to integrate the machine model into NLU service.
  3. User can extract domain specific entities using this NLU service.

Author

By Rajesh Gudikoti and Rich Hagarty

Code

Demo

N/A

Video

!!! COMING

Overview

This code pattern describes how to analyze SMS messages with Watson Knowledge Studio (WKS) and Watson's Natural Language Understanding (NLU) capability to extract entities in the data. Current natural language processing techniques cannot extract or interpret data that is domain or industry specific. The data (entities) represent different meaning in different domains. The best answer to such a problem is IBM's Watson Knowledge Studio.

After completing this code pattern, the user will learn how to:

  • Upload a corpus with WKS
  • Import types to WKS
  • Use WKS to create a model
  • Deploy a WKS model to NLU
  • Call NLU APIs with a WKS model specified

Flow

  1. The user provides the client with an SMS message to be analyzed.
  2. The client sends the SMS to Watson NLU for analysis, specifying which machine learning WKS model to use.
  3. Watson NLU extracts the domain specific entities and returns the results to the client.
  4. The client renders the results to the user.

Included components

  1. Watson Knowledge Studio
  2. Natural Language Understanding
  • Watson Visual Recognition: Visual Recognition understands the contents of images - visual concepts tag the image, find human faces, approximate age and gender, and find similar images in a collection.
  • IBM Watson Discovery: A cognitive search and content analytics engine for applications to identify patterns, trends, and actionable insights.

Featured Technologies

  • Artificial Intelligence: Artificial intelligence can be applied to disparate solution spaces to deliver disruptive technologies.

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