Open luigi-asprino opened 3 years ago
Depends on
Independent
Description
The emotion detector uses lexica annotated with emotions for strengthening its capabilities in recognising emotions in users' sentences.
Source
WP3-WP6 interpackage working group.
Competency Questions
Ontology/Ontology Design Patterns Relevant for the scenario
SPARQL Questions
The following query returns the emotion score associated with wordnet's synsets.
PREFIX fschema: <https://w3id.org/framester/schema/> PREFIX depmood: <https://w3id.org/framester/depechemood/depechemood2wn/> PREFIX wn30schema: <https://w3id.org/framester/wn/wn30/schema/> SELECT DISTINCT ?syn (str(?afraid) AS ?Afraid) (str(?amused) AS ?Amused) (str(?angry) AS ?Angry) (str(?annoyed) AS ?Annoyed) (str(?dontcare) AS ?DontCare) (str(?happy) AS ?Happy) (str(?sad) AS ?Sad) WHERE{ ?syn depmood:AFRAIDscore ?afraid ; depmood:AMUSEDscore ?amused ; depmood:ANGRYscore ?angry ; depmood:ANNOYEDscore ?annoyed ; depmood:DONT_CAREscore ?dontcare ; depmood:HAPPYscore ?happy ; depmood:INSPIREDscore ?insipered ; depmood:SADscore ?sad . }
The following query retrieves words and glosses associated with sense synsets.
SELECT * { ?syn wn30schema:containsWordSense ?ws . ?syn wn30schema:gloss ?gloss . ?ws wn30schema:word ?w . ?w wn30schema:lexicalForm ?lf . }
Toy Dataset/SPARQL Endpoint
Framester's Endpoint
Depends on
Independent
Description
The emotion detector uses lexica annotated with emotions for strengthening its capabilities in recognising emotions in users' sentences.
Source
WP3-WP6 interpackage working group.
Competency Questions
Ontology/Ontology Design Patterns Relevant for the scenario
SPARQL Questions
The following query returns the emotion score associated with wordnet's synsets.
The following query retrieves words and glosses associated with sense synsets.
Toy Dataset/SPARQL Endpoint
Framester's Endpoint