Title: Exploring Methods for Parsing Movie Scripts - Feature Extraction for Further Social Injustice Analysis. Abstract: When it comes to analysing movie scripts for things like bias and given the variation of movie script formatting due to inconsistencies by the authors, it is important that we create methods that can help extract all the relevant features required for any further analysis. In this paper, we discuss multiple parsing techniques that can be used to extract features and understand the structure of movie scripts in an automated fashion. We compare and contrast the accuracy and time of a rule based and a variety of machine learning approaches including; Deep Neural Networks, Decision Tress and BERT for sequence classification model. 