Opinion mining and text analytics are used widely across numerous disciplines and fields in today's society to provide insight into people's thoughts, feelings, and stances. This data is incredibly valuable and can be utilized for a range of purposes. As such, an in-depth look into how opinion mining and text analytics correlate with social media and literature is necessary to better understand audiences. The Handbook of Research on Opinion Mining and Text Analytics on Literary Works and Social Media introduces the use of artificial intelligence and big data analytics applied to opinion mining and text analytics on literary works and social media. It also focuses on theories, methods, and approaches in which data analysis techniques can be used to analyze data to provide a meaningful pattern. Covering a wide range of topics such as sentiment analysis and stance detection, this publication is ideal for lecturers, researchers, academicians, practitioners, and students.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
Pantea Keikhosrokiani, School of Computer Sciences, Universiti Sains Malaysia, Malaysia
Moussa Pourya Asl, School of Humanities, Universiti Sains Malaysia, Malaysia
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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Buch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Opinion mining and text analytics are used widely across numerous disciplines and fields in today's society to provide insight into people's thoughts, feelings, and stances. This data is incredibly valuable and can be utilized for a range of purposes. As such, an in-depth look into how opinion mining and text analytics correlate with social media and literature is necessary to better understand audiences. The Handbook of Research on Opinion Mining and Text Analytics on Literary Works and Social Media introduces the use of artificial intelligence and big data analytics applied to opinion mining and text analytics on literary works and social media. It also focuses on theories, methods, and approaches in which data analysis techniques can be used to analyze data to provide a meaningful pattern. Covering a wide range of topics such as sentiment analysis and stance detection, this publication is ideal for lecturers, researchers, academicians, practitioners, and students. N° de réf. du vendeur 9781799895947
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