Project

MOM

Multimedia Opinion Mining

Multimedia Opinion Mining

  • Duration:

This project aims to address the challenge of opinion mining of multimedia content from the web. This comprises a large-scale multi-modal analysis of social media streams and their underlying network dynamics considering different media channels such as Twitter, Flickr, YouTube, Google, and Wikipedia. The main contribution of MOM is four-fold:

  1. Social media data is analyzed utilizing information from structured data sources to detect and track trending topics.
  2. Large amounts of multimedia content are analyzed with respect to its sentiment and opinion. This follows a holistic approach i.e. the analysis of a rich set of different modalities such as textual, visual, and tempo-visual content.
  3. This information is further enriched by network analysis to grasp structural diffusion as well as global and local impact of information in social networks.
  4. The possibility of forecasting the progression of identified opinion topics into the near future is investigated.

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Contact Person
Prof. Dr. Prof. h.c. Andreas Dengel
Prof. Dr. Prof. h.c. Andreas Dengel

Keyfacts

Publications about the project

Sebastian Palacio, Joachim Folz, Jörn Hees, Federico Raue, Damian Borth, Andreas Dengel

In: The IEEE Conference on Computer Vision and Pattern Recognition (CVPR). International Conference on Computer Vision and Pattern Recognition (CVPR-2018) located at CVPR June 18-22 Salt Lake City Utah United States IEEE 2018.

To the publication
Philipp Blandfort, Tushar Karayil, Damian Borth, Andreas Dengel

In: Proceedings of the 2017 ACM on Multimedia Conference. Multimodal Understanding of Social, Affective and Subjective Attributes (MUSA2-17) An ACM MM'17 Workshop located at ACM Multimedia 2017 ACM 10/2017.

To the publication
Federico Raue, Sebastian Palacio, Andreas Dengel, Marcus Liwicki

In: A. Lintas (editor). Proceedings of the 26th International Conference on Artificial Neural Networks. International Conference on Artificial Neural Networks (ICANN-2017) 26th located at ICANN September 11-14 Alghero Italy Springer 2017.

To the publication

German Research Center for Artificial Intelligence
Deutsches Forschungszentrum für Künstliche Intelligenz