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Techn. Fakultät Willkommen am Institut für Informatik FAU-Logo

Seminar Automatic Question Answering Using IBM Watson [SemWatson]

Summary
The seminar will focus on the IBM Watson technology that is being used to build question answering system. The Watson system is quite well known because it was the first system to beat two human experts in the American quiz show "Jeopardy!". In the seminar, we will investigate natural language processing techniques and the Watson API in particular. In order to bring this technology also into an applied context, IBM will provide us with access to an Watson Instance that can be used to build own question answering systems embedded into IBM's Bluemix Cloud Architecture. Registration for the class will occur in the first appointment.

Dates & Rooms:
Wednesday, 8:30 - 10:00; Room: 01.134


Lecturer

First Session

You can find the introductory slide via this link: Initiates file downloadSlides

Depression Analysis
Group 1: Final Project

In this project, students used IBM Watson Visual Recognition API to develop an application in order to assess the persons who suffer from depression. 

Final Presentation: Initiates file downloadDepression Analysis

Application Demo: Initiates file downloadDepression analysis software demo

Medical Assistant(Chest X-ray Image Classifier)
Group 2: Final Project

In this project, students used IBM Watson Visual Recognition API to develop an application in order to classify the lung diseases. They built a web application framework which classify all the chest X-ray images into 4 different categories of diseases. This application is easy to use and can increase the confidence of radiologists in terms of diagnosis and prognosis. 

 

Final Presentation: Initiates file downloadInitiates file downloadMedical Assistant(Chest X-ray Image Classifier)

Application Demo: Initiates file downloadInitiates file downloadMedical Assistant(Chest X-ray Image Classifier)Initiates file download demo

Stock Market Analysis
Group 3: Final Project

In this project, students used IBM watson conversation and other third party application to develop an application that can predict the stock market value and trend.  

Final Presentation: Initiates file downloadInitiates file downloadStock Market Prediction

Application Demo 1: Initiates file downloadInitiates file downloadStock Market Prediction demo1

Application Demo 2: Initiates file downloadInitiates file downloadStock Market Prediction demo2

Customer Feedback Analysis
Group 4: Final Project

In this project, students used the IBM Watson Tone Analyser API to evaluate the customer feedbacks on twitter. Given the increasing popularity of customer service dialogue on Twitter, analysis of conversation data is essential to understand trends in customer and agent behavior for the purpose of improving customer service interactions.

– Measure customer satisfaction

– Evaluate agent performance

– See how conversations start verses how they finish

Using “Customer Service Analyzer” we can analyze conversations

between customers and customer service agents.

 

Final Presentation: Initiates file downloadInitiates file downloadCustomer Feedback Analysis

Application Demo: Initiates file downloadInitiates file downloadCustomer Feedback Analysis Demo

Email Agent
Group 5: Final Project

In this project, students used IBM Watson Visual Recognition API to develop an application in order to assess the persons who suffer from depression. 

Final Presentation: Initiates file downloadDepression Analysis

Application Demo: Initiates file downloadDepression analysis software demo