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

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.

Author: Pantea Keikhosrokiani
Publisher: Engineering Science Reference
Published: 02/18/2022
Pages: 496
Binding Type: Hardcover
Weight: 3.14lbs
Size: 11.00h x 8.50w x 1.06d
ISBN13: 9781799895947
ISBN10: 1799895947
BISAC Categories:
- Computers | Data Science | Data Analytics
- Computers | Internet | Social Media
- Computers | Data Science | Machine Learning

This title is not returnable