Title
Bollywood Movie Corpus for Text, Images and Videos.
Abstract
In past few years, several data-sets have been released for text and images. We present an approach to create the data-set for use in detecting and removing gender bias from text. We also include a set of challenges we have faced while creating this corpora. In this work, we have worked with movie data from Wikipedia plots and movie trailers from YouTube. Our Bollywood Movie corpus contains 4000 movies extracted from Wikipedia and 880 trailers extracted from YouTube which were released from 1970-2017. The corpus contains csv files with the following data about each movie - Wikipedia title of movie, cast, plot text, co-referenced plot text, soundtrack information, link to movie poster, caption of movie poster, number of males in poster, number of females in poster. In addition to that, corresponding to each cast member the following data is available - cast name, cast gender, cast verbs, cast adjectives, cast relations, cast centrality, cast mentions. We present some preliminary results on the task of bias removal which suggest that the data-set is quite useful for performing such tasks.
Year
Venue
Field
2017
arXiv: Computers and Society
Data mining,Computer science,Centrality,Gender bias,Artificial intelligence,Natural language processing
DocType
Volume
Citations 
Journal
abs/1710.04142
0
PageRank 
References 
Authors
0.34
0
6
Name
Order
Citations
PageRank
Nishtha Madaan122.08
Sameep Mehta233041.97
Mayank Saxena311.03
Aditi Aggarwal411.03
Taneea S. Agrawaal511.03
Vrinda Malhotra611.03