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         "id"   : "https://puma.ub.uni-stuttgart.de/bibtex/25c92fa34ba6673bee8754e893af401c3/dr.romanklinger",         
         "tags" : [
            "emotion","imported","language","myown","nlp","tutorial"
         ],
         
         "intraHash" : "5c92fa34ba6673bee8754e893af401c3",
         "interHash" : "99ccde666081dc00304d13d449e9240a",
         "label" : "Emotion Analysis in Text",
         "user" : "dr.romanklinger",
         "description" : "",
         "date" : "2023-04-06 10:18:01",
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         "pub-type": "inproceedings",
         "booktitle": "Proceedings of the 17th Conference of the European\r\n                  Chapter of the Association for Computational\r\n                  Linguistics: Tutorial Abstracts","publisher":"Association for Computational Linguistics","address":"Dubrovnik, Croatia",
         "year": "2023", 
         "url": "", 
         
         "author": [ 
            "Sanja Stajner","Roman Klinger"
         ],
         "authors": [
         	
            	{"first" : "Sanja",	"last" : "Stajner"},
            	{"first" : "Roman",	"last" : "Klinger"}
         ],
         "abstract": "Emotion analysis in text is an area of research that\r\n                  encompasses a set of various natural language\r\n                  processing (NLP) tasks, including classification and\r\n                  regression settings, as well as structured\r\n                  prediction tasks like role labeling or stimulus\r\n                  detection. In this tutorial, we provide an overview\r\n                  of research from emotion psychology which sets the\r\n                  ground for choosing adequate NLP methodology, and\r\n                  present existing resources and classification\r\n                  methods used for emotion analysis in texts. We\r\n                  further discuss appraisal theories and how events\r\n                  can be interpreted regarding their presumably caused\r\n                  emotion and briefly introduce emotion role\r\n                  labeling. In addition to these technical topics, we\r\n                  discuss the use cases of emotion analysis in text,\r\n                  their societal impact, ethical considerations, as\r\n                  well as the main challenges in the field.",
         "internaltype" : "confabstracts",
         
         "bibtexKey": "StajnerKlinger2023"

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