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Found 12 papers, 1 papers with code
Exploring Implicit Sentiment Evoked by Fine-grained News Events
We investigate the feasibility of defining sentiment evoked by fine-grained news events.
SentEMO: A Multilingual Adaptive Platform for Aspect-based Sentiment and Emotion Analysis
In this paper, we present the SentEMO platform, a tool that provides aspect-based sentiment analysis and emotion detection of unstructured text data such as reviews, emails and customer care conversations.
Aspect-Based Sentiment Analysis
Aspect-Based Sentiment Analysis (ABSA)
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Irony Detection for Dutch: a Venture into the Implicit
This paper presents the results of a replication experiment for automatic irony detection in Dutch social media text, investigating both a feature-based SVM classifier, as was done by Van Hee et al. (2017) and and a transformer-based approach.
Current Limitations in Cyberbullying Detection: on Evaluation Criteria, Reproducibility, and Data Scarcity
The detection of online cyberbullying has seen an increase in societal importance, popularity in research, and available open data.
We Usually Don't Like Going to the Dentist: Using Common Sense to Detect Irony on Twitter
Although common sense and connotative knowledge come naturally to most people, computers still struggle to perform well on tasks for which such extratextual information is required.
SemEval-2018 Task 3: Irony Detection in English Tweets
Our shared tasks received submissions from 43 teams for the binary classification Task A and from 31 teams for the multiclass Task B.
Automatic Detection of Cyberbullying in Social Media Text
While social media offer great communication opportunities, they also increase the vulnerability of young people to threatening situations online.
Monday mornings are my fave :) \#not Exploring the Automatic Recognition of Irony in English tweets
Recognising and understanding irony is crucial for the improvement natural language processing tasks including sentiment analysis.
Exploring the Realization of Irony in Twitter Data
Handling figurative language like irony is currently a challenging task in natural language processing.
