IMDB

IMDB Large Movie Review Dataset. This is a dataset for binary sentiment classification containing substantially more data than previous benchmark datasets. We provide a set of 25,000 highly polar movie reviews for training, and 25,000 for testing. There is additional unlabeled data for use as well. Raw text and already processed bag of words formats are provided. See the README file contained in the release for more details.


References in zbMATH (referenced in 19 articles )

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  1. Koh, Pang Wei; Steinhardt, Jacob; Liang, Percy: Stronger data poisoning attacks break data sanitization defenses (2022)
  2. Chazal, Frédéric; Levrard, Clément; Royer, Martin: Clustering of measures via mean measure quantization (2021)
  3. Li, Yanzhi; Liu, Zhicheng; Xu, Chuchu; Li, Ping; Chang, Hong; Zhang, Xiaoyan: Two-stage submodular maximization under curvature (2021)
  4. Prabu, P.; Sivakumar, R.; Ramamurthy, B.: Corpus based sentimenal movie review analysis using auto encoder convolutional neural network (2021)
  5. Al-Shedivat, Maruan; Dubey, Avinava; Xing, Eric: Contextual explanation networks (2020)
  6. Cai, Mingxuan; Dai, Mingwei; Ming, Jingsi; Peng, Heng; Liu, Jin; Yang, Can: BIVAS: a scalable Bayesian method for bi-level variable selection with applications (2020)
  7. Tibo, Alessandro; Jaeger, Manfred; Frasconi, Paolo: Learning and interpreting multi-multi-instance learning networks (2020)
  8. Tran-Dinh, Quoc; Alacaoglu, Ahmet; Fercoq, Olivier; Cevher, Volkan: An adaptive primal-dual framework for nonsmooth convex minimization (2020)
  9. Yang, Puyudi; Chen, Jianbo; Hsieh, Cho-Jui; Wang, Jane-Ling; Jordan, Michael I.: Greedy attack and Gumbel attack: generating adversarial examples for discrete data (2020)
  10. Zamzami, Nuha; Bouguila, Nizar: High-dimensional count data clustering based on an exponential approximation to the multinomial beta-Liouville distribution (2020)
  11. Liu, Dalian; Li, Dewei; Shi, Yong; Tian, Yingjie: Large-scale linear nonparallel SVMs (2018)
  12. Liu, Liu; Liu, Kaile; Cong, Zhenghai; Zhao, Jiali; Ji, Yefei; He, Jun: Long length document classification by local convolutional feature aggregation (2018)
  13. Sharma, Manali; Bilgic, Mustafa: Learning with rationales for document classification (2018)
  14. Sharma, Manali; Bilgic, Mustafa: Evidence-based uncertainty sampling for active learning (2017)
  15. Victor Campos, Brendan Jou, Xavier Giro-i-Nieto, Jordi Torres, Shih-Fu Chang: Skip RNN: Learning to Skip State Updates in Recurrent Neural Networks (2017) arXiv
  16. Gross, Samuel M.; Tibshirani, Robert: Data shared Lasso: a novel tool to discover uplift (2016)
  17. Derrac, Joaquín; Schockaert, Steven: Inducing semantic relations from conceptual spaces: a data-driven approach to plausible reasoning (2015)
  18. Poria, Soujanya; Cambria, Erik; Hussain, Amir; Huang, Guang-Bin: Towards an intelligent framework for multimodal affective data analysis (2015) ioport
  19. Gross, Alexander; Murthy, Dhiraj: Modeling virtual organizations with latent Dirichlet allocation: a case for natural language processing (2014) ioport