Planning applicatie voor Tango

Comparing Feature Sets and Classifiers for Sentiment Analysis of Opinionated Free Text

This master thesis is about the sentiment analysis of the societal theme documents and categorizing them in positive or negative groups. The application of this thesis can be widely used in review blogs, public polls and etc. In this study, we have compared different feature sets as well as different classifiers on datasets of opinionated texts...

Automatic Creation of Opinion-Based Summary Representations

Customers interested in buying a product, can search on the internet for reviews about that product. For many products, an enormous amount of information and opinions is available. Customers gets overwhelmed by this information and systems are needed to filter out the essential information. In this research, a model is developed to automatically...

Designing a Designer: Designing a decision support system for designing communication strategies

This thesis presents the research on designing a decision support system for designing communication strategies. The importance of this topic comes from the idea that more academic knowledge from social sciences could be used in designing communication strategies. However, often those strategies are not designed by scholars. Therefore a way must...

Nametones

"Nametones Generator" is an Android application where the user can generate an unique Nametone based on his/her name, birthdate and the selected music style. This is based on the idea of Bach that every name is to be transformed into a classic musical piece.

Evolving Biologically Inspired Classifiers

This thesis argues that natural complex systems can provide an inspiring example for creating software which incorporates emergent, self-organizing and adaptive properties. The advantages of complex sys- tems are their natural resilience, redundancy and adaptivity. A generalization of neural networks and boolean networks called computational...

Learning the Model Structure of Dynamic Bayesian Networks for Automated Speech Recognition

Improving the performance of Automated Speech Recognition system requires incorporating more knowledge in the model of Automated Speech Recognition system. Information such as the context of the conversation and the characteristics of the speaker can make the task of recognizing speech more accurate. The challenge is how this knowledge can be...

Speech-based automatic closed caption alignment

In the Netherlands, four million people watch television programs with closed captions because they are hearing impaired or non-native speakers. Closed captions contain Dutch speech transcriptions and non-speech sound descriptions and are displayed as subtitles. Due to government obligation, the number of television programs that must be closed...

Post-Processing Method for Single Channel Speech Enhancement Systems

Boosting the performance of a conventional speech enhancement system by applying post-processing restoration modules. The speech production process is modeled with linear prediction analysis (LPA). This yields to a two step problem: enhancement of the spectral envelope obtained after conducting LPA to the output signal of a conventional speech...

Design of a computer-assisted anticoagulant dosing system

At the moment current anticoagulation dosing computer programs use of relatively simple algorithms and provide a useful dose proposal in about half the cases. In the other cases medical staff has to come up with a dose and a return date. This thesis investigates the possibilities of supporting medical staff in anticoagulant dosing by extending...

Automatic speech recognition using dynamic Bayesian networks

New ideas to improve automatic speech recognition have been proposed that make use of context user information such as gender, age and dialect. To incorporate this information into a speech recognition system a new framework is being developed at the MMI department of the EWI faculty at the Delft University of Technology. This toolkit is called...

Optical flow-based facial feature tracking to recognize AUs modeled by Bayesian networks

This thesis describes a Bayesian Network (BN) model for recognizing the “Action Units (AUs)” of a facial expression using video sequence images as input. Features were extracted by using an optimal estimation optical flow method coupled with a physical (muscle) model describing the facial structure. The muscle action patterns are used for...

Analysis and recording of multimodal data

Emotions are part of our lives. Emotions can enhance the meaning of our communication. However, communication with computers is still done by keyboard and mouse. In this human-computer interaction there is no room for emotions, whereas if we would communicate with machines the way we do in face-to-face communication much information can be...

Basora Enterprise Search: A new system for enterprise information retrieval

There are several issues at play within Enterprise Search, a mayor one is that enterprises are finding it difficult to retrieve their data using current Enterprise Search (ES) solutions. This thesis work is a step towards improving this. By designing, implementing and evaluating a system for Enterprise Information Retrieval, with an improved...

Coderivative Document Recognition

Knowledge management in large enterprises currently depends very much on the active participation of the employees. If an employee is unable or unwilling to share his knowledge,the knowledge management fails. To counter this situation, the documents of all employees can be collected automatically and stored in a knowledge management application....