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Found 12 papers, 3 papers with code
A Context-free Arabic Emoji Sentiment Lexicon (CF-Arab-ESL)
This is done by constructing a context-free Arabic emoji sentiment lexicon annotated by native Arabic speakers from seven different regions (Gulf, Egypt, Levant, Sudan, North Africa, Iraq, and Yemen) to see how these Arabic users label the sentiment of these symbols without a textual context.
Arabic Emoji Sentiment Lexicon (Arab-ESL): A Comparison between Arabic and European Emoji Sentiment Lexicons
Then, we exploited an existing European emoji sentiment lexicon to compare the sentiment conveyed in each of the two families of language and culture (Arabic and European).
Cultural Vocal Bursts Intensity Prediction
Sentiment Analysis
GUSUM: Graph-based Unsupervised Summarization Using Sentence Features Scoring and Sentence-BERT
In this paper, we develop a Graph-Based Unsupervised Summarization(GUSUM) method for extractive text summarization based on the principle of including the most important sentences while excluding sentences with similar meanings in the summary.
Can vectors read minds better than experts? Comparing data augmentation strategies for the automated scoring of children's mindreading ability
To determine the capabilities of automatic systems to generalize to unseen data, we create UK-MIND-20 - a new corpus of children's performance on tests of mindreading, consisting of 10, 320 question-answer pairs.
``What is on your mind?'' Automated Scoring of Mindreading in Childhood and Early Adolescence
In this paper we present the first work on the automated scoring of mindreading ability in middle childhood and early adolescence.
"What is on your mind?" Automated Scoring of Mindreading in Childhood and Early Adolescence
In this paper we present the first work on the automated scoring of mindreading ability in middle childhood and early adolescence.
Swarm Behaviour Evolution via Rule Sharing and Novelty Search
We present in this paper an exertion of our previous work by increasing the robustness and coverage of the evolution search via hybridisation with a state-of-the-art novelty search and accelerate the individual agent behaviour searches via a novel behaviour-component sharing technique.
Robotic Hierarchical Graph Neurons. A novel implementation of HGN for swarm robotic behaviour control
This new HGN is called Robotic-HGN (R-HGN), as it matches robot environment observations to environment labels via fusion of match probabilities from both temporal and intra-swarm collections.
