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sample-apps.md

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copyright lastupdated subcollection
years
2015, 2021
2021-08-31
natural-language-understanding

{:shortdesc: .shortdesc} {:new_window: target="_blank"} {:tip: .tip} {:pre: .pre} {:codeblock: .codeblock} {:screen: .screen} {:javascript: .ph data-hd-programlang='javascript'} {:java: .ph data-hd-programlang='java'} {:python: .ph data-hd-programlang='python'} {:swift: .ph data-hd-programlang='swift'}

Sample apps

{: #sample-apps}

Learn more about IBM Watson™ Natural Language Understanding from these sample applications and labs. {: shortdesc}

Build a cognitive moderator microservice

{: #cognitive-moderator}

Process messages and images exchanged in a chat channel using Watson services to moderate the discussions

Get recommendations by linking structured and unstructured data

{: #recommendations}

Establish a relation with data stored in the structured format

Provide automated customer support for emails

{: #automated-customer-support-for-emails}

Develop an intelligent customer support system using Watson natural language capabilities

Query a knowledge base for documents

{: #query-knowledge-base-for-documents}

Use Watson NLU, Python NLTK, and IBM Watson Studio to query a knowledge base and get answers to questions related to a domain-specific document

Build a knowledge graph from documents

{: #build-knowledge-graph-from-documents}

Use IBM Cloud, Watson services, Watson Studio, and open source technologies to derive insights from unstructured text content generated in various business domains

Snap and translate text in images

{: #translate-text-in-images}

Capture an image, extract, and translate text using Tesseract OCR and Watson Language Translator

Analyze product reviews and generate a shopping guide

{: #analyze-product-reviews}

Create a Node.js app to make cognitive decisions using product reviews evaluated by Watson Natural Language Understanding.

Create a Banking Chatbot

{: #banking-chatbot}

Use Node.js and Watson to detect emotion, identify entities, and discover answers.

Enrich multimedia files using Watson services

{: #enrich-multimedia-files}

Build an app that enriches audio and visual files using IBM Watson services.

Analyze SMS messages with Watson Knowledge Studio

{: #analyze-sms-messages}

Build a custom model to better categorize SMS message content using Watson Knowledge Studio and Watson Natural Language Understanding.

Correlate documents from different sources

{: #correlate-content-across-documents}

Correlate content across documents by using the Python NLTK and IBM Data Science Experience.

Discover hidden Facebook usage insights

{: #facebook-insights}

Harness the power of cognitive data analysis in a Jupyter Notebook with PixieDust.

Extend Watson text classification

{: #extend-text-classification}

Use the Python NLTK toolkit and IBM DSX to achieve the desired text classification results.

Fingerprinting personal data from unstructured text

{: #fingerprint-personal-data}

Build a custom model using Watson Natural Language Understanding and Watson Knowledge Studio.

Use Swift to interpret unstructured data from Hacker News

{: #analyze-hacker-news}

Use cognitive APIs to gain insight into tech trends on Hacker News with a twist.

Accelerate training of machine learning algorithms

{: #accelerate-ml-training}

Achieve faster training of machine learning algorithms using Google TensorFlow on IBM PowerAI.

Build a cognitive recommendation app with Swift

{: #cognitive-recommendation-app}

Build a Swift-based mobile chatbot to provide recommendations, reservations, and event planning.