Literatura académica sobre el tema "IMDb DATASET"
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Artículos de revistas sobre el tema "IMDb DATASET"
Jung, Soon-Gyo, Joni Salminen y Bernard J. Jansen. "Engineers, Aware! Commercial Tools Disagree on Social Media Sentiment: Analyzing the Sentiment Bias of Four Major Tools". Proceedings of the ACM on Human-Computer Interaction 6, EICS (14 de junio de 2022): 1–20. http://dx.doi.org/10.1145/3532203.
Texto completoJnoub, Nour, Fadi Al Machot y Wolfgang Klas. "A Domain-Independent Classification Model for Sentiment Analysis Using Neural Models". Applied Sciences 10, n.º 18 (8 de septiembre de 2020): 6221. http://dx.doi.org/10.3390/app10186221.
Texto completoKamaru Zaman, Fadhlan Hafizhelmi. "Gender classification using custom convolutional neural networks architecture". International Journal of Electrical and Computer Engineering (IJECE) 10, n.º 6 (1 de diciembre de 2020): 5758. http://dx.doi.org/10.11591/ijece.v10i6.pp5758-5771.
Texto completoAlghazzawi, Daniyal M., Anser Ghazal Ali Alquraishee, Sahar K. Badri y Syed Hamid Hasan. "ERF-XGB: Ensemble Random Forest-Based XG Boost for Accurate Prediction and Classification of E-Commerce Product Review". Sustainability 15, n.º 9 (23 de abril de 2023): 7076. http://dx.doi.org/10.3390/su15097076.
Texto completoEffendi, Fery Ardiansyah y Yuliant Sibaroni. "Sentiment Classification for Film Reviews by Reducing Additional Introduced Sentiment Bias". Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) 5, n.º 5 (24 de octubre de 2021): 863–75. http://dx.doi.org/10.29207/resti.v5i5.3400.
Texto completoAribowo, Agus Sasmito, Halizah Basiron y Noor Fazilla Abd Yusof. "Semi-supervised learning for sentiment classification with ensemble multi-classifier approach". International Journal of Advances in Intelligent Informatics 8, n.º 3 (30 de noviembre de 2022): 349. http://dx.doi.org/10.26555/ijain.v8i3.929.
Texto completoShaddeli, Aitak, Farhad Soleimanian Soleimanian Gharehchopogh, Mohammad Masdari y Vahid Solouk. "An Improved African Vulture Optimization Algorithm for Feature Selection Problems and Its Application of Sentiment Analysis on Movie Reviews". Big Data and Cognitive Computing 6, n.º 4 (28 de septiembre de 2022): 104. http://dx.doi.org/10.3390/bdcc6040104.
Texto completoZhou, Yancong, Qian Zhang, Dongdong Wang y Xiaoying Gu. "Text Sentiment Analysis Based on a New Hybrid Network Model". Computational Intelligence and Neuroscience 2022 (28 de diciembre de 2022): 1–15. http://dx.doi.org/10.1155/2022/6774320.
Texto completoGore, Mohini, Aishwarya Sheth, Samrudhi Abbad, Paryul Jain y Prof Pooja Mishra. "IMDB Box Office Prediction Using Machine Learning Algorithms". International Journal for Research in Applied Science and Engineering Technology 10, n.º 5 (31 de mayo de 2022): 2438–42. http://dx.doi.org/10.22214/ijraset.2022.42653.
Texto completoAbdullah Haje, Umran, Mohammed Hussein Abdalla, Reben Mohammed Saleem Kurda y Zhwan Mohammed Khalid. "A New Model for Emotions Analysis in Social Network Text Using Ensemble Learning and Deep learning". Academic Journal of Nawroz University 11, n.º 1 (9 de marzo de 2022): 130–40. http://dx.doi.org/10.25007/ajnu.v11n1a1250.
Texto completoTesis sobre el tema "IMDb DATASET"
YADAV, DEEPIKA. "SENTIMENT ANALYSIS ON TWITTER DATA". Thesis, DELHI TECHNOLOGICAL UNIVERSITY, 2020. http://dspace.dtu.ac.in:8080/jspui/handle/repository/18821.
Texto completoCapítulos de libros sobre el tema "IMDb DATASET"
Yousuf, Saad Bin, Hasan Sajid, Simon Poon y Matloob Khushi. "IMDB-Attire: A Novel Dataset for Attire Detection and Localization". En Neural Information Processing, 543–53. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-36711-4_46.
Texto completoFeng, Wenying, Daren Zha, Lei Wang y Xiaobo Guo. "IMDb30: A Multi-relational Knowledge Graph Dataset of IMDb Movies". En Knowledge Science, Engineering and Management, 696–708. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-10983-6_53.
Texto completoBalci, Salih, Gozde Merve Demirci, Hilmi Demirhan y Salih Sarp. "Sentiment Analysis Using State of the Art Machine Learning Techniques". En Digital Interaction and Machine Intelligence, 34–42. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-11432-8_3.
Texto completoPachore, A. B. y R. Remesan. "Spatio-Temporal Analysis of Meteorological Drought Using IMD 0.25° Gridded Dataset for Marathwada Region". En Lecture Notes in Civil Engineering, 233–46. Singapore: Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-0304-5_18.
Texto completoKrishnan, R., J. Sanjay, Chellappan Gnanaseelan, Milind Mujumdar, Ashwini Kulkarni y Supriyo Chakraborty. "Correction to: Assessment of Climate Change over the Indian Region". En Assessment of Climate Change over the Indian Region, C1. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-15-4327-2_13.
Texto completoActas de conferencias sobre el tema "IMDb DATASET"
Tripathi, Sandesh, Ritu Mehrotra, Vidushi Bansal y Shweta Upadhyay. "Analyzing Sentiment using IMDb Dataset". En 2020 12th International Conference on Computational Intelligence and Communication Networks (CICN). IEEE, 2020. http://dx.doi.org/10.1109/cicn49253.2020.9242570.
Texto completoSikhi, Yalavarthi, S. Anjali Devi, Sreekar Kumar Jasti y M. Sitha Ram. "Sentimental Analysis through Speech and text for IMDB Dataset". En 2022 4th International Conference on Smart Systems and Inventive Technology (ICSSIT). IEEE, 2022. http://dx.doi.org/10.1109/icssit53264.2022.9716303.
Texto completoMathapati, Savitha, Amulya K. Adur, R. Tanuja, S. H. Manjula y K. R. Venugopal. "Collaborative Deep Learning Techniques for Sentiment Analysis on IMDb Dataset". En 2018 Tenth International Conference on Advanced Computing (ICoAC). IEEE, 2018. http://dx.doi.org/10.1109/icoac44903.2018.8939068.
Texto completoButler, Martin y Stefan Robila. "Interface for querying and data mining for the IMDb dataset". En 2016 IEEE Long Island Systems, Applications and Technology Conference (LISAT). IEEE, 2016. http://dx.doi.org/10.1109/lisat.2016.7494103.
Texto completoKünas, Cristiano Alex, Leandro Perius Heck y Edson Luiz Padoin. "Implementação de Rede Neural Artificial em Plataforma GPU Aplicada na Análise de Sentimentos em Textos". En Escola Regional de Alto Desempenho da Região Sul. Sociedade Brasileira de Computação - SBC, 2020. http://dx.doi.org/10.5753/eradrs.2020.10751.
Texto completoПопова, Екатерина, Ekaterina Popova, Владимир Спицын, Vladimir Spicyn, Юлия Иванова y Yuliya Ivanova. "Using artificial neural networks to solve text classification problems". En 29th International Conference on Computer Graphics, Image Processing and Computer Vision, Visualization Systems and the Virtual Environment GraphiCon'2019. Bryansk State Technical University, 2019. http://dx.doi.org/10.30987/graphicon-2019-1-270-273.
Texto completoBal, Malyaban y Abhronil Sengupta. "Sequence Learning Using Equilibrium Propagation". En Thirty-Second International Joint Conference on Artificial Intelligence {IJCAI-23}. California: International Joint Conferences on Artificial Intelligence Organization, 2023. http://dx.doi.org/10.24963/ijcai.2023/329.
Texto completoKrishna, Muddada Murali, Balaganesh Duraisamy y Jayavani Vankara. "Hybrid Deep Learning Techniques for Sentiment Analysis on IMDB Datasets". En 2022 2nd International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE). IEEE, 2022. http://dx.doi.org/10.1109/icacite53722.2022.9823898.
Texto completoLa Malfa, Emanuele, Rhiannon Michelmore, Agnieszka M. Zbrzezny, Nicola Paoletti y Marta Kwiatkowska. "On Guaranteed Optimal Robust Explanations for NLP Models". En Thirtieth International Joint Conference on Artificial Intelligence {IJCAI-21}. California: International Joint Conferences on Artificial Intelligence Organization, 2021. http://dx.doi.org/10.24963/ijcai.2021/366.
Texto completoSong, Kaisong, Wei Gao, Shi Feng, Daling Wang, Kam-Fai Wong y Chengqi Zhang. "Recommendation vs Sentiment Analysis: A Text-Driven Latent Factor Model for Rating Prediction with Cold-Start Awareness". En Twenty-Sixth International Joint Conference on Artificial Intelligence. California: International Joint Conferences on Artificial Intelligence Organization, 2017. http://dx.doi.org/10.24963/ijcai.2017/382.
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