1 option
Predicting the financial success of movies using sentiment analysis.
- Format:
- Video
- Series:
- Sage research methods.
- Language:
- English
- Subjects (All):
- Natural language processing (Computer science).
- Computational linguistics.
- Public opinion--Data processing.
- Public opinion.
- Success in business.
- Motion pictures.
- Physical Description:
- 1 online resource (1 video file (00:27:23)) : sound, colour
- Place of Publication:
- London : SAGE Publications Ltd, 2019.
- Language Note:
- Closed-captions in English.
- Summary:
- Ganna Pogrebna, PhD, Professor of Behavioral Economics and Data Science at the University of Birmingham and fellow at the Alan Turing Institute, discusses predicting the success of movies based on their emotional content or arc, including data collection and analysis; criteria considered in cleaning the data; sentiment analysis and natural language processing algorithms; overall findings and challenges; as well as future research and advice for those interested in this field.
- Participant:
- Academic, Ganna Pogrebna PhD.
- Notes:
- Description based on XML content.
- ISBN:
- 9781526492852 (streaming video) :
- OCLC:
- 1104487117
- Access Restriction:
- Restricted for use by site license.
The Penn Libraries is committed to describing library materials using current, accurate, and responsible language. If you discover outdated or inaccurate language, please fill out this feedback form to report it and suggest alternative language.