A Linked Data-Based Decision Tree Classifier to Review Movies
Slides
Related content
Report a problem or upload files
If you have found a problem with this lecture or would like to send us extra material, articles, exercises, etc., please use our ticket system to describe your request and upload the data.Enter your e-mail into the 'Cc' field, and we will keep you updated with your request's status.
Description
In this paper, we describe our contribution to the 2015 Linked Data Mining Challenge. The proposed task is concerned with the prediction of review of movies as \good" or \bad", as does Metacritic website based on critics' reviews. First we describe the sources used to build the training data. Although, several sources provide data about movies on the Web in different formats including RDF, data from HTML pages had to be gathered to fulfill some of our features. We then describe our experiment training a decision tree model on 241 features derived from our RDF knowledge base, achieving an accuracy of 0.94
Link this page
Would you like to put a link to this lecture on your homepage?Go ahead! Copy the HTML snippet !
Write your own review or comment: