Seminar (Bachelor)

Seminar "Text Visualization" (STV)

Dozent:
  • Shahid Latif
  • Shivam Agarwal
  • Prof. Dr. Fabian Beck
Semester:
Wintersemester 2019/2020
Termin:
Thursday, 14-16 h (weekly)
Raum:
SH 403
Sprache:
englisch

Beschreibung:

Text visualization corresponds to the visual representation of the contents of text documents with the aim to summarize, understand, and explore the textual content. With the recent boom in digital literature and increasing number of users on the social media platforms, enormous amount of text data is freely available to be analyzed. The huge size of such data warrants the usage of automatic techniques to extract and communicate useful information. To this end, along with text mining and natural language processing (NLP) techniques, visualization has played an important role in enhancing the understandability of this data. To date, numerous visualization techniques have been devised to help in providing a quick visual overview of a large amount of text data from various perspectives. The topics offered within the scope of this seminar look into state-of-the-art visualization techniques and visual analytics systems that help in understanding diverse types of text data ranging from static text documents to dynamic conversations.

List of Tentative Topics

  1. Visual Summarization of Text Documents

  2. Combination of Text and Visualization for Data Analysis

  3. Visual Analysis of Conversations

  4. Automatic Generation of Captions for Images and Visualizations

  5. Text Visualizations in a Geographical Context

  6. Temporal Evolution in Citations of a Scientific Article

Interested?

Please attend the first session on Thursday, October 17, 2019 (14.15 - 16.00) in Room SH-403 - We'll present the details of above-mentioned topics  and assign them to the interested participants on first come, first serve basis.