Literatura académica sobre el tema "POLARITY DATASET"
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Artículos de revistas sobre el tema "POLARITY DATASET"
Tian, Jing, Wushour Slamu, Miaomiao Xu, Chunbo Xu y Xue Wang. "Research on Aspect-Level Sentiment Analysis Based on Text Comments". Symmetry 14, n.º 5 (23 de mayo de 2022): 1072. http://dx.doi.org/10.3390/sym14051072.
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 completoAl-Kabi, Mohammed N., Heider A. Wahsheh y Izzat M. Alsmadi. "Polarity Classification of Arabic Sentiments". International Journal of Information Technology and Web Engineering 11, n.º 3 (julio de 2016): 32–49. http://dx.doi.org/10.4018/ijitwe.2016070103.
Texto completoJung, 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 completoTripathy, Abinash y Santanu Kumar Rath. "Classification of Sentiment of Reviews using Supervised Machine Learning Techniques". International Journal of Rough Sets and Data Analysis 4, n.º 1 (enero de 2017): 56–74. http://dx.doi.org/10.4018/ijrsda.2017010104.
Texto completoKuriyozov, Elmurod y Sanatbek Matlatipov. "Building a New Sentiment Analysis Dataset for Uzbek Language and Creating Baseline Models". Proceedings 21, n.º 1 (2 de agosto de 2019): 37. http://dx.doi.org/10.3390/proceedings2019021037.
Texto completoPecar, Samuel, Tobias Daudert y Marian Simko. "Evaluation of end-to-end aspect-based sentiment analysis methods employing novel benchmark dataset for aspect, and opinion review analysis". Intelligent Data Analysis 26, n.º 6 (12 de noviembre de 2022): 1617–41. http://dx.doi.org/10.3233/ida-216252.
Texto completoKouadri, Wissam Mammar, Mourad Ouziri, Salima Benbernou, Karima Echihabi, Themis Palpanas y Iheb Ben Amor. "Quality of sentiment analysis tools". Proceedings of the VLDB Endowment 14, n.º 4 (diciembre de 2020): 668–81. http://dx.doi.org/10.14778/3436905.3436924.
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 completoZhao, Runcong, Lin Gui, Hanqi Yan y Yulan He. "Tracking Brand-Associated Polarity-Bearing Topics in User Reviews". Transactions of the Association for Computational Linguistics 11 (2023): 404–18. http://dx.doi.org/10.1162/tacl_a_00555.
Texto completoTesis sobre el tema "POLARITY 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 "POLARITY DATASET"
Apoorva, G. Drushti y Radhika Mamidi. "BolLy: Annotation of Sentiment Polarity in Bollywood Lyrics Dataset". En Communications in Computer and Information Science, 41–50. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-10-8438-6_4.
Texto completoDjebbi, Mohamed Amine y Riadh Ouersighni. "TunTap: A Tunisian Dataset for Topic and Polarity Extraction in Social Media". En Computational Collective Intelligence, 507–19. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-16014-1_40.
Texto completoShaila, S. G., M. S. M. Prasanna, Shazia, C. Bhavya Shree, S. Arya y K. P. Deshpande. "Polarity Classification of Sarcastic Sentence Patterns Based on N-Gram Technique for Twitter Dataset". En Lecture Notes in Networks and Systems, 239–47. Singapore: Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-1559-8_25.
Texto completoVan Thin, Dang, Duc-Vu Nguyen, Kiet Van Nguyen, Ngan Luu-Thuy Nguyen y Anh Hoang-Tu Nguyen. "Multi-task Learning for Aspect and Polarity Recognition on Vietnamese Datasets". En Communications in Computer and Information Science, 169–80. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-6168-9_15.
Texto completoTripathy, Abinash y Santanu Kumar Rath. "Classification of Sentiment of Reviews using Supervised Machine Learning Techniques". En Cognitive Analytics, 143–63. IGI Global, 2020. http://dx.doi.org/10.4018/978-1-7998-2460-2.ch009.
Texto completoKumari, Suman, Basant Agarwal y Mamta Mittal. "A Deep Neural Network Model for Cross-Domain Sentiment Analysis". En Research Anthology on Implementing Sentiment Analysis Across Multiple Disciplines, 157–73. IGI Global, 2022. http://dx.doi.org/10.4018/978-1-6684-6303-1.ch008.
Texto completoMuñoz-Chávez, J. Patricia, Rigoberto García-Contreras y David Valle-Cruz. "Panic Station". En Advances in Marketing, Customer Relationship Management, and E-Services, 51–73. IGI Global, 2022. http://dx.doi.org/10.4018/978-1-6684-4168-8.ch003.
Texto completoSprugnoli, Rachele. "MultiEmotions-It: a New Dataset for Opinion Polarity and Emotion Analysis for Italian". En Proceedings of the Seventh Italian Conference on Computational Linguistics CLiC-it 2020, 402–8. Accademia University Press, 2020. http://dx.doi.org/10.4000/books.aaccademia.8910.
Texto completoMehla, Stuti y Sanjeev Rana. "An Optimized System for Sentiment Analysis using Twitter Data". En Challenges and Opportunities for Deep Learning Applications in Industry 4.0, 159–80. BENTHAM SCIENCE PUBLISHERS, 2022. http://dx.doi.org/10.2174/9789815036060122010010.
Texto completoJiménez-Ruano, Adrián, Pere Joan Gelabert, Victor Resco de Dios, Cristina Vega-García, Luis Torres, Jaime Ribalaygua y Marcos Rodrigues. "Modeling daily natural-caused ignition probability in the Iberian Peninsula". En Advances in Forest Fire Research 2022, 1214–19. Imprensa da Universidade de Coimbra, 2022. http://dx.doi.org/10.14195/978-989-26-2298-9_184.
Texto completoActas de conferencias sobre el tema "POLARITY DATASET"
Han, Yi, Mohsen Moghaddam, Meet Tusharbhai Suthar y Gaurav Nanda. "Aspect-Sentiment-Guided Opinion Summarization for User Need Elicitation From Online Reviews". En ASME 2022 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2022. http://dx.doi.org/10.1115/detc2022-90108.
Texto completoMao, Qianren, Jianxin Li, Senzhang Wang, Yuanning Zhang, Hao Peng, Min He y Lihong Wang. "Aspect-Based Sentiment Classification with Attentive Neural Turing Machines". En Twenty-Eighth International Joint Conference on Artificial Intelligence {IJCAI-19}. California: International Joint Conferences on Artificial Intelligence Organization, 2019. http://dx.doi.org/10.24963/ijcai.2019/714.
Texto completoLuo, Ling, Xiang Ao, Feiyang Pan, Jin Wang, Tong Zhao, Ningzi Yu y Qing He. "Beyond Polarity: Interpretable Financial Sentiment Analysis with Hierarchical Query-driven Attention". En Twenty-Seventh International Joint Conference on Artificial Intelligence {IJCAI-18}. California: International Joint Conferences on Artificial Intelligence Organization, 2018. http://dx.doi.org/10.24963/ijcai.2018/590.
Texto completoAi, Xinzhi, Xiaoge Li, Feixiong Hu, Shuting Zhi y Likun Hu. "Multi-Layer Attention Approach for Aspect based Sentiment Analysis". En 9th International Conference on Natural Language Processing (NLP 2020). AIRCC Publishing Corporation, 2020. http://dx.doi.org/10.5121/csit.2020.101410.
Texto completoJohn Sino Cruz, Matthew y Marlene De Leon. "Analysis of citizen's sentiment towards Philippine administration's intervention against COVID-19". En 13th International Conference on Applied Human Factors and Ergonomics (AHFE 2022). AHFE International, 2022. http://dx.doi.org/10.54941/ahfe1001446.
Texto completoK. Aryal, Saurav, Howard Prioleau y Gloria Washington. "Sentiment Classification of Code-Switched Text using Pre-Trained Multilingual Embeddings and Segmentation". En 8th International Conference on Signal, Image Processing and Embedded Systems (SIGEM 2022). Academy and Industry Research Collaboration Center (AIRCC), 2022. http://dx.doi.org/10.5121/csit.2022.122013.
Texto completoDavoodi, Laleh y József Mezei. "A Comparative Study of Machine Learning Models for Sentiment Analysis: Customer Reviews of E-Commerce Platforms". En Digital Restructuring and Human (Re)action. University of Maribor Press, 2022. http://dx.doi.org/10.18690/um.fov.4.2022.13.
Texto completoOliveira, Miguel V. y Tiago de Melo. "Investigating sets of linguistic features for two sentiment analysis tasks in Brazilian Portuguese web reviews". En Simpósio Brasileiro de Sistemas Multimídia e Web. Sociedade Brasileira de Computação, 2020. http://dx.doi.org/10.5753/webmedia_estendido.2020.13060.
Texto completoColley, Derek y Md Asaduzzaman. "Construction and Performance Analysis of a Groomed Polarity Lexicon Derived from Product Review Source Datasets". En 2021 11th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS). IEEE, 2021. http://dx.doi.org/10.1109/idaacs53288.2021.9660838.
Texto completoAnh, Le Quoc, Vu Duy Thanh, Nguyen Huu Hoang Son, Doan Thi Kim Phuong, Luong Thi Lan Anh, Do Thi Ram, Nguyen Thanh Binh Minh et al. "Efficient Type and Polarity Classification of Chromosome Images using CNNs: a Primary Evaluation on Multiple Datasets". En 2022 IEEE Ninth International Conference on Communications and Electronics (ICCE). IEEE, 2022. http://dx.doi.org/10.1109/icce55644.2022.9852034.
Texto completoInformes sobre el tema "POLARITY DATASET"
Farahbod, A. M. y J. F. Cassidy. An overview of seismic attenuation in the Eastern Canadian Arctic and the Hudson Bay Complex, Manitoba, Newfoundland and Labrador, Nunavut, Ontario, and Quebec. Natural Resources Canada/CMSS/Information Management, 2022. http://dx.doi.org/10.4095/330396.
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