| Professor |
Prof. Dr. Andreas Kerren
|
| Time & Place |
14:15 - 16:00, Room: B3033V
|
| Teaching Period |
IV (2012-02-28 till 2012-03-15)
|
| Assessment |
Preparation of a talk and writing an overview article about the chosen topic. Both tasks will have influence on the final grade.
|
| Prerequisites |
At least 90 credits in Computer Sciences including fundamental knowledge in Computer Graphics (or similar)
|
| Credits |
7.5 ECTS
|
| Topic |
Text and Document Visualization
 
Visualization of an increasing amount of data is one of the ongoing research challenges. Considerable amount of produced data are textual data, such as different blogs, news, emails, different legal and administrative documents in a company, etc. Text data or documents have specific features and particular techniques to address the nature of the textual data are being developed. Various domain experts could be interested in different aspects of text visualization. For example, linguists might be interested in the visualization of text structure or text metrics. A social scientist would want to visualize the content of documents (e.g. news) to discover different political trends. In some cases, the evaluation of a single document or a group of documents is important. As text in itself could be regarded as a visualization of ones thoughts and ideas, the visualization of the text semantics is a rather challenging topic.
This course aims at giving an overview of the most important techniques and
prerequisites needed to develop effective visualizations for analyzing
text and document visualization environments.
|
| Schedule |
Preliminary Schedule:
| # |
Date |
Topic
|
| 1 |
2012-02-28 |
Introduction
|
| 2 |
TBA |
Student Presentations
|
|
Slides & Reports |
Slides on basic InfoVis techniques can be found on the web page of the past
InfoVis course 4DV300.
Student presentations date and time: TBA
Please send an ordered list of three prefered topics to Ilir Jusufi.
| # |
Topic |
Student |
| 1 |
Document/Text Streams |
Hailelul |
| 2 |
Sentiment Analysis |
Noman |
| 3 |
Content Visualizarion |
N.N. |
| 4 |
Document Collections |
N.N. |
|
| Further Information |
The course is organized as a classic seminar. At the beginning, some introductory lectures on
Information Visualization and Visual Analytics will be given by the teacher. Then, each
student will choose a specific topic and prepare a presentation on the basis of actual
research papers and articles. Each presentation should take around 45 minutes + 15 minutes
of discussion. Finally, each student will write an overview article (about 15-20 pages)
on the chosen papers. Please, consider our general guidelines for seminars.
Recommended reading:
The course is mainly based on research papers. These will be chosen at the beginning
of the course. In general, interesting books are:
- A. Kerren, A. Ebert, and J. Meyer (Eds.). Human-Centered Visualization Environments. LNCS Tutorial 4417,
Springer, 2007.
- R. Spence. Information Visualization. ACM Press/Addison Wesley, New York, ISBN 0-201-59626-1, 2001.
- C. Chen. Information Visualization. Springer, London, Berlin, Heidelberg, 2nd Edition,
ISBN 1-85233-789-3, 2004.
|
