a linked data-based decision tree classifier to review movies
TRANSCRIPT
Linked Data Mining Challenge at Know@LODESWC 2015, Portovoz, Slovenia, May 31st
Suad Aldarra
Emir Muñoz
Imagine a movie
Vampire Female
Swords & Axes
Leather Pants
Chasing & Stabbing
Based on a video game Sequel
Non famous actors
Low budgetRate R
Movies
Data
Training
Set
Test
SetFreeBase DBPedia
LOD Collection Movies
KB
Learner
ML Model
Predictor
Evaluation
IMDB OMDB Metacritics
How to pick a good movie?
Sequel Film
Independent film
Based on literature
Freebase url
Actor Gender
Director Date Of
Birth
Actor Date Of Birth
OMDB API
MPAA rating
Runtime
Genre
Directors
Actors
language
Country
BudgetGross
Actor Awards
Director Awards
Plot keywords
Movie IMDB id
Critics Textual Reviews
#Female Actors
#MaleActors
#Actors>50#Actors<30
#Actors30-50
Directors Oscar/
Golden GlobeWin/Nominated
ActorsOscar/
Golden GlobeWin/Nominated
#Good Keywords#Bad Keywords#Mostly Good#Mostly Bad
HighBudgetLowBudget
Gross>BudgetCommon Language
Common Country
#positive reviews#negative reviews#neutral reviews
Director Gender
#Directors>50#Directors<30#Directors30-50
How to pick a good movie?Extracting Features
Release Date
Released_weekendReleased_weekday
241 Features RDF Knowledge Base (SPARQL)
Weka Tool Decision Tree Algorithm (Best Performance, dealing with
nominal/numeric features, easy visualised)
Accuracy For Training Set 94 % (1503/2000)
How to pick a good movie?Training Classifier
Accuracy For Test Set
91.75%
And the Oscars goes to ..
Behind The Scenes
Decision Tree Diagram Critics Negative Reviews
Critics Negative Reviews
# Good Keywords
Genre: Documentary
+1 (352)
#Good Keywords
Language: English
Genre: Romance
#Bad Keywords
-1 (8)
+1 (3)
+1 (22)
Critics Positive Reviews
-1 (653/12)
#Good Keywords
#Bad Keywords
Language: German
#Actors Age <30
Release Date: Weekend
+1 (7)
<=0.4 >0.4
<=0.3 > 0.3 <=0.4 >0.4
Behind The Scenes
Good Keywords Bad Keywords Common Keywords
1) frustration2) melancholy3) very little dialogue4) looking out a window5) film director6) sin7) reference to Friedrich
Nietzsche
8) old friend9) moral ambiguity10)dressing
1) critically bashed2) based on video game3) Taser4) pepper spray5) worst picture razzie winner
6) spin off from video game7) physical comedy8) hung upside down9) female vampire10)dark heroine
1) weapon2) tourist3) spider4) sexual abuse5) Santa Claus6) rome italy7) queen8) mentor9) hollywood California
10)black cop
Ranked Features1) critics negative review2) critics positive review3) good keywords4) bad keywords5) country: USA6) genre: Documentary7) language : English8) mostly Good Keywords9) mostly Bad Keywords10) MPAA: PG-13
Behind The Scenes
Only 3 features from linked data in the top-10
• Linked Data is not enough alone
• DBpedia needs quality improvement and more interlinking