| Autor: |
Antony, Elizabeth, Nimmy Francis |
| Rok vydání: |
2022 |
| Předmět: |
|
| DOI: |
10.5281/zenodo.6938169 |
| Popis: |
— Predicting societal reactions to a new product in terms of perceived popularity and rate of adoption has become a field of data analysis. The film industry is a multibillion-dollar industry, and there is a vast amount of information about movies on the internet. This research proposes a machine learning-based solution for the film investing business. The method analyses previous data from several sources to forecast a movie's success rate. K Nearest Neighbors (KNN) is a method for predicting the box office success of a film. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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