@prefix skos: <http://www.w3.org/2004/02/skos/core#> .
@prefix dc: <http://purl.org/dc/terms/> .
@prefix xsd: <http://www.w3.org/2001/XMLSchema#> .
@prefix ltk: <http://data.loterre.fr/ark:/67375/LTK> .
@prefix owl: <http://www.w3.org/2002/07/owl#> .

<http://data.loterre.fr/ark:/67375/8LP-K5T7M1ZS-V>
  skos:prefLabel "logiciel de TAL"@fr, "NLP software"@en ;
  a skos:Concept ;
  skos:narrower <http://data.loterre.fr/ark:/67375/8LP-K8GP12DS-2> .

<http://data.loterre.fr/ark:/67375/8LP-K8GP12DS-2>
  skos:prefLabel "SentiStrength"@fr, "SentiStrength"@en ;
  skos:definition "SentiStrength estime la force des sentiments positifs et négatifs dans les textes courts, même pour le langage informel. (Loterre)"@fr, "SentiStrength estimates the strength of positive and negative sentiment in short texts, even for informal language. (Loterre)"@en ;
  skos:hiddenLabel "Senti Strength"@en, "Senti Strength"@fr, "Sentistrength"@fr, "Sentistrength"@en ;
  a skos:Concept ;
  skos:example "SentiStrength seems to be less useful in this range suggesting that its main benefit was separating low-and high-intensity sadness words. (Mohammad & Bravo-Marquez, 2017)"@en, "In the same way SentiStrength also misclassifies many positive tweets as negative and vice versa while ClimaPinion misclassifies far fewer tweets in this way. (Maynard & Bontcheva, 2016)"@en, "SentiStrength predicts the strength of positive and negative sentiments in short texts. (Sazzed, 2021)"@en ;
  dc:modified "2024-05-03T09:13:22"^^xsd:dateTime ;
  skos:inScheme <http://data.loterre.fr/ark:/67375/8LP> ;
  skos:broader <http://data.loterre.fr/ark:/67375/8LP-K5T7M1ZS-V> ;
  skos:exactMatch ltk:-NBXTNC3N-1 .

<http://data.loterre.fr/ark:/67375/8LP> a owl:Ontology, skos:ConceptScheme .