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SemEval-2018 Task 1: Affect in Tweets
TLDR
We present the SemEval-2018 Task 1: Affect in Tweets, which includes an array of subtasks on inferring the affectual state of a person from their tweet. Expand
WASSA-2017 Shared Task on Emotion Intensity
TLDR
We create the first datasets of tweets annotated for anger, fear, joy, and sadness intensities using a technique called best–worst scaling (BWS). Expand
Emotion Intensities in Tweets
TLDR
We use a technique called best--worst scaling (BWS) that improves annotation consistency and obtains reliable fine-grained scores. Expand
Meta-level sentiment models for big social data analysis
TLDR
We propose a novel approach for sentiment classification of subjectivity and polarity detection based on meta-level features. Expand
A novel deterministic approach for aspect-based opinion mining in tourism products reviews
TLDR
This work proposes an extension of Bing Liu's aspect-based opinion mining approach in order to apply it to the tourism domain, which presents features that are not considered by the model. Expand
Combining strengths, emotions and polarities for boosting Twitter sentiment analysis
TLDR
We propose an approach for boosting Twitter sentiment classification using different sentiment dimensions as meta-level features, generated by existing sentiment analysis methods and resources. Expand
Identifying Customer Preferences about Tourism Products Using an Aspect-based Opinion Mining Approach
TLDR
We propose an approach for considering a new alternative to discover consumer preferences about tourism products, particularly hotels and restaurants, using opinions available on the Web as reviews. Expand
Determining Word-Emotion Associations from Tweets by Multi-label Classification
TLDR
We propose a methodology for expanding the NRC word-emotion association lexicon based on a collection of unlabelled tweets using multi-label classification. Expand
Proof-of-Learning: A Blockchain Consensus Mechanism Based on Machine Learning Competitions
TLDR
This article presents WekaCoin, a peer-to-peer cryptocurrency based on a new distributed consensus protocol called Proof-of-Learning. Expand
Positive, Negative, or Neutral: Learning an Expanded Opinion Lexicon from Emoticon-Annotated Tweets
TLDR
We present a supervised framework for expanding an opinion lexicon for tweets. Expand
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