Predicting video views of web series based on comment sentiment analysis and improved stacking ensemble model
Chuanmin Mi, Mingzhu Li, Annisa Fitria Wulandari
| Year of publication: |
2024
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|---|---|
| Authors: | Mi, Chuanmin ; Li, Mingzhu ; Wulandari, Annisa Fitria |
| Published in: |
Electronic commerce research. - Dordrecht : Springer Science Business Media B.V., ISSN 1572-9362, ZDB-ID 2038488-9. - Vol. 24.2024, 4, p. 2637-2664
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| Subject: | Artificial Intelligence | Comment sentiment analysis | Precision weighted average | SO-PMI algorithm | Stacking ensemble model | Video views prediction | Web series | Künstliche Intelligenz | Artificial intelligence | Prognoseverfahren | Forecasting model | Social Web | Social web | Algorithmus | Algorithm | Emotion | Data Mining | Data mining |
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1007/s10660-022-09642-9 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10015196527