كتاب إلكتروني

FB-NEWS15: A Topic-Annotated Facebook Corpus for Emotion Detection and Sentiment Analysis

التفاصيل البيبلوغرافية
العنوان: FB-NEWS15: A Topic-Annotated Facebook Corpus for Emotion Detection and Sentiment Analysis
المؤلفون: Passaro, Lucia C., Bondielli, Alessandro, Lenci, Alessandro
المصدر: Accademia University PressOpenAIRE.
بيانات النشر: Accademia University Press, 2017-07-26.
سنة النشر: 2017
وصف مادي: 228-232
مصطلحات موضوعية: LNP, Language & Linguistics (General), Computational Linguistics, natural language, experimental methodologies, Linguistica Computazionale, linguaggio naturale, metodologie sperimentali, Linguistique Computationelle, langage naturel, méthodes expérimentales
الوصف: In this paper we present the FB-NEWS15 corpus, a new Italian resource for sentiment analysis and emotion detection. The corpus has been built by crawling the Facebook pages of the most important newspapers in Italy and it has been organized into topics using LDA. In this work we provide a preliminary analysis of the corpus, including the most debated news in 2015.
In questo lavoro presentiamo il corpus FB-NEWS15, un corpus italiano creato per scopi di sentiment analysis ed emotion detection. Il corpus stato costruito scaricando le pagine Facebook delle maggiori testate giornalistiche in Italia e successivamente organizzato in topic utilizzando LDA. In questo articolo forniamo una analisi preliminare del corpus, e mostriamo le notizie pi discusse nel 2015.
نوع الوثيقة: Chapter
اللغة: English
ردمك: 978-88-99982-54-6
Relation: http://books.openedition.org/aaccademia/basictei/1818; http://books.openedition.org/aaccademia/tei/1818
DOI: 10.4000/books.aaccademia.1818
URL الوصول: http://books.openedition.org/aaccademia/1818
حقوق: CC BY-NC-ND 3.0
رقم الأكسشن: edsrev.FC1CB2F8
قاعدة البيانات: Openedition.org
الوصف
ردمك:9788899982546
DOI:10.4000/books.aaccademia.1818