كتاب إلكتروني
Sanremo’s winner is...
| العنوان: | Sanremo’s winner is... |
|---|---|
| المؤلفون: | Minard, Anne-Lyse, Speranza, Manuela, Qwaider, Mohammed R. H., Magnini, Bernardo |
| المصدر: | Accademia University PressOpenAIRE. |
| بيانات النشر: | Accademia University Press, 2018-04-19. |
| سنة النشر: | 2018 |
| وصف مادي: | 217-222 |
| مصطلحات موضوعية: | CBX, linguistica computazionale, elaborazione del linguaggio naturale, umanistica digitale, linguaggio, tecnologia, intelligenza artificiale, elaborazione del testo, linguistique computationelle, traitement du langage naturel, langue, technologie, intelligence artificielle, traitement de texte, Computational Linguistics, natural language processing, digital humenities, language, tecnology, artificial intelligence, text processing |
| الوصف: | This paper compares Active Learning selection strategies for sentiment analysis of Twitter data. We focus mainly on category-driven strategies, which select training instances taking into consideration the confidence of the system as well as the category of the tweet (e.g. positive or negative). We show that this combination is particularly effective when the performance of the system is unbalanced over the different categories. This work was conducted in the framework of automatically ranking the songs of “Festival di Sanremo 2017” based on sentiment analysis of the tweets posted during the contest. Questo lavoro confronta strategie di selezione di Active Learning per l’analisi del sentiment dei tweet focalizzandosi su strategie guidate dalla categoria. Selezioniamo istanze di addestramento combinando la categoria del tweet (per esempio positivo o negativo) con il grado di confidenza del sistema. Questa combinazione è particolarmente efficace quando la distribuzione delle categorie non è bilanciata. Questo lavoro aveva come scopo il ranking delle canzoni del “Festival di Sanremo 2017” sulla base dell’analisi del sentiment dei tweet postati durante la manifestazione. |
| نوع الوثيقة: | Chapter |
| اللغة: | English |
| ردمك: | 978-88-99982-94-2 |
| Relation: | http://books.openedition.org/aaccademia/basictei/2429; http://books.openedition.org/aaccademia/tei/2429 |
| DOI: | 10.4000/books.aaccademia.2429 |
| URL الوصول: | http://books.openedition.org/aaccademia/2429 |
| رقم الأكسشن: | edsrev.BB998727 |
| قاعدة البيانات: | Openedition.org |
| ردمك: | 9788899982942 |
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| DOI: | 10.4000/books.aaccademia.2429 |