A Case Study of Deep Learning-Based Multi-Modal Methods for Labeling the Presence of Questionable Content in Movie TrailersRANLP 2021 Multi-view Story Characterization from Movie Plot Synopses and ReviewsEMNLP 2020 Attending the Emotions to Detect Online Abusive LanguageWOAH @ EMNLP 2020 Learning Emphasis Selection for Written Text in Visual Media from Crowd-Sourced Label DistributionsACL 2019 Detecting Early Signs of Cyberbullying in Social MediaTRAC2 @ LREC 2020 Age Suitability Rating: Predicting the MPAA Rating Based on Movie DialoguesLREC 2020 Exploiting Textual, Visual and Product Features for Predicting the Likeability of MoviesFLAIRS-32 Folksonomication: Predicting Tags for Movies from Plot Synopses using Emotion Flow encoded Neural NetworkCOLING 2018 Letting Emotions Flow: Success Prediction by Modeling the Flow of Emotions in BooksNAACL 2018 MPST: A Corpus of Movie Plot Synopses with TagsLREC 2018 Detecting Nastiness in Social MediaALW1@ACL 2017 A Multi-task Approach to Predict Likability of BooksEACL 2017 Overview for the Second Shared Task on Language Identification in Code-Switched DataEMNLP 2016 Age and Gender Prediction on Health Forum DataLREC 2016 Large Scale Authorship Attribution of Online ReviewsCCLING 2016 Authorship Attribution on Reviews (CICLING 2016) The dataset is presented as MySQL tables. You can get the data from the following links: Amazon Reviews Yelp Hotel Reviews Yelp Restaurant Reviews