Date : 2023-03-08 => 2023-03-10
Lieu : Universidade do Minho (Portugal)
1st International Conference on Data & Digital Humanities | Text Mining and Multimodal Storytelling
8-10 March 2023, Universidade do Minho (hybrid conference)
Abstract submission deadline: 15-01-2023
Topics
We invite linguistic experts, data scientists, IT professionals, developers, and anyone with a keen interest in generating insights from textual data to share ideas and advances on how open sources paradigm and new emerging research text analysis/analytics methods are applied to different fields of humanities and social sciences as well as to discuss current and future challenges. In particular, we encourage the submission of abstracts discussing challenges related to the main stages of data journey presented below.
Topics include the following but are open for additional:
Getting text data
Where and how do digital humanists find and clean their text data?
- Open Access and Open Science
- Digital libraries
- Data repositories
- Language Corpora
- Social media
- Audio/video data
- Web scraping techniques
- Text cleaning and parsing techniques
- Tools for extracting and cleaning text data
- Privacy and/or security requirements
Finding inspiration in text data
How do digital humanists find inspiration in their text data?
- Document classification
- Corpora comparison
- Entity recognition
- Summarization
- Terminology extraction
- Text statistics
- Topic modeling
- Sentiment analysis & Opinion mining
- Author profiling
- New research methodologies and design
- Text simplification
Telling a story with text data
Why do digital humanists need to tell stories with their text data?
- Visualization as text simplification
- Text adaptation
- Infographics
- Animated videos
- Geolocalization
- Interactive Dashboards
- Instructional Design Research
Submission guidelines
Abstracts must be written in English, Times New Roman, size 12; justified. Abstracts should include: Title, 300 to 500 word summary, 3-5 key-words, 5 references (maximum). Abstracts will be refereed through double-blind peer review.
Submit your abstract at the following link: https://easychair.org/my/conference?conf=ddhum2023
For more information: https://sites.google.com/view/ddhum