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Francielle Vargas's Projects

deceiver icon deceiver

Multilingual discourse-annotated dataset for fake news detection

emotion-lexicon icon emotion-lexicon

This is a subjective lexicon of baseline emotion (alegria, desgosto, medo, negativo, neutro, positivo, raiva, supresa e tristeza) em Português.

factnews icon factnews

FactNews is the first dataset to predict sentence-level factuality of news reporting. Furthemore, we provide baseline results for sentence-level factuality and media bias predicition in Portuguese. The FactNews is composed of 6,191 annotated sentences by factuality and media bias definitions by AllSides.

factual icon factual

Explainable Fact-Checking and News Credibility Verification System for Portuguese

fakenewscorpusspanish icon fakenewscorpusspanish

The Spanish Fake News Corpus contains a collection of 971 news divided into 491 real news and 480 fake news. The corpus covers news from 9 different topics: Science, Sport, Economy, Education, Entertainment, Politics, Health, Security, and Society

gum icon gum

Repository for the Georgetown University Multilayer Corpus (GUM)

hatebr icon hatebr

HateBR is the first large-scale expert annotated dataset of Brazilian Instagram comments for hate speech and offensive language detection on the web and social media.

hausahate icon hausahate

HausaHate is a benchmark dataset for Hausa hate speech detection task. it was extracted from West African Facebook pages and comprises 2,000 comments annotated according to a binary class (offensive and non-offensive) and hate speech targets (race, gender and none).

hurtlex icon hurtlex

A multilingual lexicon of words to hurt.

mlp-e-rbf icon mlp-e-rbf

A multilayer perceptron (MLP) manually developed.

mol icon mol

Multilingual Offensive Lexicon consists of the first contextual lexicon for abusive language detection, which is composed of 1,000 explicit and implicit terms and expressions with any pejorative connotation annotated with contextual information

nohatebrazil icon nohatebrazil

A Brazilian Portuguese Text Offensiveness Analysis System

opcluster icon opcluster

An automatic opinion implicit and explicit aspect identification and clustering tool for aspect-based opinion mining / sentiment analysis applications. Opcluster-PT also allows the customization for other languages, being minimally necessary a lexical language resource as such as WordNet, deverbal, foreign, diminutive and enhancing Lexicon. OpCluster-PT is currently customized for Brazilian Portuguese.

opcluster-pt-web icon opcluster-pt-web

Automatic identification and clustering of opinion explicit and implicit aspects in product reviews for Portuguese language

opcovidbr icon opcovidbr

Fine-grained opinion identification and polarity classification of Covid-19 tweets in Portuguese.

pro icon pro

Ontologies of aspects- groups of (hierarchically organized) explicit and implicit opinion aspects for supporting opinion mining and text summarization tasks, including the domains of smartphones, digital cameras and books, in OWL format.

sentiaspect-pt icon sentiaspect-pt

The SentiAspect-pt comprises 180 product reviews annotated according to implicit and explicit fine-grained opinions, which were hierarchically organized for aspect-based sentiment analysis and opinion summarization applications.

ssa icon ssa

SSA is a post-hoc explanation method by stereotypes and counter-stereotypes to assess social bias in hate speech classifiers

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