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Found 7 papers, 2 papers with code
A Cost-aware Study of Depression Language on Social Media using Topic and Affect Contextualization
This paper presents the following contributions: (i) an ensemble learning system that combines several types of text representations for depression detection, including recent advances in the field; (ii) a contextualization schema through topic and affective information; (iii) an analysis of models' energy consumption, establishing a trade-off between classification performance and overall computational costs.
LibertyMFD: A Lexicon to Assess the Moral Foundation of Liberty
The LibertyMFD dictionary can be a valuable tool for policymakers to understand diverse viewpoints on controversial social issues such as vaccination, abortion, or even uprisings, as they happen and on a large scale.
GSI-UPM at SemEval-2019 Task 5: Semantic Similarity and Word Embeddings for Multilingual Detection of Hate Speech Against Immigrants and Women on Twitter
This paper describes the GSI-UPM system for SemEval-2019 Task 5, which tackles multilingual detection of hate speech on Twitter.
MoralStrength: Exploiting a Moral Lexicon and Embedding Similarity for Moral Foundations Prediction
In this study, we present MoralStrength, a lexicon of approximately 1, 000 lemmas, obtained as an extension of the Moral Foundations Dictionary, based on WordNet synsets.
A framework for fake review detection in online consumer electronics retailers
Previous research has addressed fake review detection in a number of domains, such as product or business reviews in restaurants and hotels.
DepecheMood++: a Bilingual Emotion Lexicon Built Through Simple Yet Powerful Techniques
Several lexica for sentiment analysis have been developed and made available in the NLP community.
