A Film Synopsis Genre Classifier Based on Majority Vote
Roger Booto Tokime · International Journal on Natural Language Computing · 2018
We propose an automatic classification system of movie genres based on different features from their textual synopsis.Our system is first trained on thousands of movie synopsis from online open databases, by learning relationships between textual signatures and movie genres.Then it is tested on other movie synopsis, and its results are compared to the true genres obtained from the Wikipedia and the Open Movie Database (OMDB) databases.The results show that our algorithm achieves a classification accuracy exceeding 75%.