Аффективные Черты
Related Papers
ValenTO at SemEval-2018 Task 3: Exploring the Role of Affective Content for Detecting Irony in English Tweets
AbstractIn this paper we describe the system used by the ValenTO team in the shared task on Irony Detection in English Tweets at SemEval 2018. The system takes as starting …...
Affective and Contextual Embedding for Sarcasm Detection
AbstractAutomatic sarcasm detection from text is an important classification task that can help identify the actual sentiment in user-generated data, such as reviews or tweets. Despite its usefulness, sarcasm detection …...
Joint Modelling of Emotion and Abusive Language Detection
AbstractThe rise of online communication platforms has been accompanied by some undesirable effects, such as the proliferation of aggressive and abusive behaviour online. Aiming to tackle this problem, the natural …...
CHoRaL: Collecting Humor Reaction Labels from Millions of Social Media Users
AbstractHumor detection has gained attention in recent years due to the desire to understand user-generated content with figurative language. However, substantial individual and cultural differences in humor perception make it …...
Hate Speech Detection Based on Sentiment Knowledge Sharing
AbstractThe wanton spread of hate speech on the internet brings great harm to society and families. It is urgent to establish and improve automatic detection and active avoidance mechanisms for …...