Reproducing affective norms with lexical co-occurrence statistics: Predicting valence, arousal, and dominance
G Recchia, MM Louwerse - Quarterly journal of experimental …, 2015 - journals.sagepub.com
Human ratings of valence, arousal, and dominance are frequently used to study the
cognitive mechanisms of emotional attention, word recognition, and numerous other …
cognitive mechanisms of emotional attention, word recognition, and numerous other …
Evetar: A new test collection for event detection in arabic tweets
Research on event detection in Twitter is often obstructed by the lack of publicly-available
evaluation mechanisms such as test collections; this problem is more severe when …
evaluation mechanisms such as test collections; this problem is more severe when …
Concept-based event identification from social streams using evolving social graph sequences
Social networks, which have become extremely popular in the twenty first century, contain a
tremendous amount of user-generated content about real-world events. This user-generated …
tremendous amount of user-generated content about real-world events. This user-generated …
[PDF][PDF] Yi-Shin Chen'-Yi-Cheng Peng"-Jheng-He Liang"-Elvis Saravia"-Fernando Calderon'-Chung-Hao Chang'-Ya-Ting Chuang"-Tzu-Lung Chen'-
E Kwan - researchgate.net
Social networks, which have become extremely popular in the twenty first century, contain a
tremendous amount of user-generated content about real-world events. This user-generated …
tremendous amount of user-generated content about real-world events. This user-generated …
Building a test collection for significant-event detection in Arabic tweets
HA Almerekhi - 2016 - search.proquest.com
With the increasing popularity of microblogging services like Twitter, researchers discovered
a rich medium for tackling real-life problems like event detection. However, event detection …
a rich medium for tackling real-life problems like event detection. However, event detection …
[PDF][PDF] Revealing and interpreting crowd stories in online social environments.
The underlying patterns in large scale social media datasets can reveal valuable information
for interaction designers and researchers, both as part of realtime interactive systems and for …
for interaction designers and researchers, both as part of realtime interactive systems and for …