21 citations · 59 across the 41 of their papers we have counts for
8 papers · 1 filter
Combining Textual Features for the Detection of Hateful and Offensive Language
Sherzod Hakimov, Ralph Ewerth
The detection of offensive, hateful and profane language has become a critical challenge since many users in social networks are exposed to cyberbullying activities on a daily basi…
EduCOR: An Educational and Career-Oriented Recommendation Ontology
Eleni Ilkou, Hasan Abu-Rasheed, Mohammadreza Tavakoli +4
With the increased dependence on online learning platforms and educational resource repositories, a unified representation of digital learning resources becomes essential to suppor…
A Fair and Comprehensive Comparison of Multimodal Tweet Sentiment Analysis Methods
Gullal S. Cheema, Sherzod Hakimov, Eric Müller-Budack +1
Opinion and sentiment analysis is a vital task to characterize subjective information in social media posts. In this paper, we present a comprehensive experimental evaluation and c…
Unsupervised Video Summarization via Multi-source Features
Hussain Kanafani, Junaid Ahmed Ghauri, Sherzod Hakimov +1
Video summarization aims at generating a compact yet representative visual summary that conveys the essence of the original video. The advantage of unsupervised approaches is that…
Supervised Video Summarization via Multiple Feature Sets with Parallel Attention
Junaid Ahmed Ghauri, Sherzod Hakimov, Ralph Ewerth
The assignment of importance scores to particular frames or (short) segments in a video is crucial for summarization, but also a difficult task. Previous work utilizes only one sou…
GeoWINE: Geolocation based Wiki, Image,News and Event Retrieval
Golsa Tahmasebzadeh, Endri Kacupaj, Eric Müller-Budack +3
In the context of social media, geolocation inference on news or events has become a very important task. In this paper, we present the GeoWINE (Geolocation-based Wiki-Image-News-E…
On the Role of Images for Analyzing Claims in Social Media
Gullal S. Cheema, Sherzod Hakimov, Eric Müller-Budack +1
Fake news is a severe problem in social media. In this paper, we present an empirical study on visual, textual, and multimodal models for the tasks of claim, claim check-worthiness…
TIB's Visual Analytics Group at MediaEval '20: Detecting Fake News on Corona Virus and 5G Conspiracy
Gullal S. Cheema, Sherzod Hakimov, Ralph Ewerth
Fake news on social media has become a hot topic of research as it negatively impacts the discourse of real news in the public. Specifically, the ongoing COVID-19 pandemic has seen…