Handbook of Research on Opinion Mining and Text Analytics on Literary Works and Social Media

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Bibliographic Details
Title: Handbook of Research on Opinion Mining and Text Analytics on Literary Works and Social Media
Description: 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.
Authors: Pantea Keikhosrokiani, Moussa Pourya Asl
Resource Type: eBook.
Subjects: Literature--Data processing, Artificial intelligence, Data mining, Text processing (Computer science), Content analysis (Communication)--Data processing, Social media--Data processing, Big data
Categories: COMPUTERS / Data Science / Data Analytics, COMPUTERS / Internet / Social Media, COMPUTERS / Data Science / Machine Learning
Database: eBook Collection (EBSCOhost)
Description
Abstract: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.
ISBN:9781799895947
9781799895961
9781799895978