The JDPA Sentiment Corpus for the Automotive Domain
| Autor: | Nicolas Nicolov, Jason S. Kessler |
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| Rok vydání: | 2017 |
| Předmět: |
Scheme (programming language)
Coreference business.industry Computer science InformationSystems_INFORMATIONSTORAGEANDRETRIEVAL Sentiment analysis computer.software_genre ComputingMethodologies_ARTIFICIALINTELLIGENCE Meronymy Domain (software engineering) Annotation Resource (project management) Corpus linguistics Artificial intelligence InformationSystems_MISCELLANEOUS business computer Natural language processing computer.programming_language |
| Zdroj: | Handbook of Linguistic Annotation ISBN: 9789402408799 |
| Popis: | This chapter presents a rich annotation scheme for mentions, co-reference, meronymy, sentiment expressions, modifiers of sentiment expressions including neutralizers, negators, and intensifiers, and describes a large corpus annotated with this scheme. We define the various annotation types, provide examples, and show statistics on occurrence and inter-annotator agreement. This resource is the largest sentiment-topical corpus to date and is publicly available. It helps quantify sentiment phenomena, and allows for the construction of advanced sentiment systems and enables direct comparison of different algorithms. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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