Добірка наукової літератури з теми "POLARITY DATASET"
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Статті в журналах з теми "POLARITY DATASET"
Tian, Jing, Wushour Slamu, Miaomiao Xu, Chunbo Xu, and Xue Wang. "Research on Aspect-Level Sentiment Analysis Based on Text Comments." Symmetry 14, no. 5 (May 23, 2022): 1072. http://dx.doi.org/10.3390/sym14051072.
Повний текст джерелаAbdullah Haje, Umran, Mohammed Hussein Abdalla, Reben Mohammed Saleem Kurda, and 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, no. 1 (March 9, 2022): 130–40. http://dx.doi.org/10.25007/ajnu.v11n1a1250.
Повний текст джерелаAl-Kabi, Mohammed N., Heider A. Wahsheh, and Izzat M. Alsmadi. "Polarity Classification of Arabic Sentiments." International Journal of Information Technology and Web Engineering 11, no. 3 (July 2016): 32–49. http://dx.doi.org/10.4018/ijitwe.2016070103.
Повний текст джерелаJung, Soon-Gyo, Joni Salminen, and 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 (June 14, 2022): 1–20. http://dx.doi.org/10.1145/3532203.
Повний текст джерелаTripathy, Abinash, and Santanu Kumar Rath. "Classification of Sentiment of Reviews using Supervised Machine Learning Techniques." International Journal of Rough Sets and Data Analysis 4, no. 1 (January 2017): 56–74. http://dx.doi.org/10.4018/ijrsda.2017010104.
Повний текст джерелаKuriyozov, Elmurod, and Sanatbek Matlatipov. "Building a New Sentiment Analysis Dataset for Uzbek Language and Creating Baseline Models." Proceedings 21, no. 1 (August 2, 2019): 37. http://dx.doi.org/10.3390/proceedings2019021037.
Повний текст джерелаPecar, Samuel, Tobias Daudert, and 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, no. 6 (November 12, 2022): 1617–41. http://dx.doi.org/10.3233/ida-216252.
Повний текст джерелаKouadri, Wissam Mammar, Mourad Ouziri, Salima Benbernou, Karima Echihabi, Themis Palpanas, and Iheb Ben Amor. "Quality of sentiment analysis tools." Proceedings of the VLDB Endowment 14, no. 4 (December 2020): 668–81. http://dx.doi.org/10.14778/3436905.3436924.
Повний текст джерелаAlghazzawi, Daniyal M., Anser Ghazal Ali Alquraishee, Sahar K. Badri, and Syed Hamid Hasan. "ERF-XGB: Ensemble Random Forest-Based XG Boost for Accurate Prediction and Classification of E-Commerce Product Review." Sustainability 15, no. 9 (April 23, 2023): 7076. http://dx.doi.org/10.3390/su15097076.
Повний текст джерелаZhao, Runcong, Lin Gui, Hanqi Yan, and 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.
Повний текст джерелаДисертації з теми "POLARITY DATASET"
YADAV, DEEPIKA. "SENTIMENT ANALYSIS ON TWITTER DATA." Thesis, DELHI TECHNOLOGICAL UNIVERSITY, 2020. http://dspace.dtu.ac.in:8080/jspui/handle/repository/18821.
Повний текст джерелаЧастини книг з теми "POLARITY DATASET"
Apoorva, G. Drushti, and Radhika Mamidi. "BolLy: Annotation of Sentiment Polarity in Bollywood Lyrics Dataset." In Communications in Computer and Information Science, 41–50. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-10-8438-6_4.
Повний текст джерелаDjebbi, Mohamed Amine, and Riadh Ouersighni. "TunTap: A Tunisian Dataset for Topic and Polarity Extraction in Social Media." In Computational Collective Intelligence, 507–19. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-16014-1_40.
Повний текст джерелаShaila, S. G., M. S. M. Prasanna, Shazia, C. Bhavya Shree, S. Arya, and K. P. Deshpande. "Polarity Classification of Sarcastic Sentence Patterns Based on N-Gram Technique for Twitter Dataset." In 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.
Повний текст джерелаVan Thin, Dang, Duc-Vu Nguyen, Kiet Van Nguyen, Ngan Luu-Thuy Nguyen, and Anh Hoang-Tu Nguyen. "Multi-task Learning for Aspect and Polarity Recognition on Vietnamese Datasets." In Communications in Computer and Information Science, 169–80. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-6168-9_15.
Повний текст джерелаTripathy, Abinash, and Santanu Kumar Rath. "Classification of Sentiment of Reviews using Supervised Machine Learning Techniques." In Cognitive Analytics, 143–63. IGI Global, 2020. http://dx.doi.org/10.4018/978-1-7998-2460-2.ch009.
Повний текст джерелаKumari, Suman, Basant Agarwal, and Mamta Mittal. "A Deep Neural Network Model for Cross-Domain Sentiment Analysis." In 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.
Повний текст джерелаMuñoz-Chávez, J. Patricia, Rigoberto García-Contreras, and David Valle-Cruz. "Panic Station." In 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.
Повний текст джерелаSprugnoli, Rachele. "MultiEmotions-It: a New Dataset for Opinion Polarity and Emotion Analysis for Italian." In 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.
Повний текст джерелаMehla, Stuti, and Sanjeev Rana. "An Optimized System for Sentiment Analysis using Twitter Data." In Challenges and Opportunities for Deep Learning Applications in Industry 4.0, 159–80. BENTHAM SCIENCE PUBLISHERS, 2022. http://dx.doi.org/10.2174/9789815036060122010010.
Повний текст джерелаJiménez-Ruano, Adrián, Pere Joan Gelabert, Victor Resco de Dios, Cristina Vega-García, Luis Torres, Jaime Ribalaygua, and Marcos Rodrigues. "Modeling daily natural-caused ignition probability in the Iberian Peninsula." In 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.
Повний текст джерелаТези доповідей конференцій з теми "POLARITY DATASET"
Han, Yi, Mohsen Moghaddam, Meet Tusharbhai Suthar, and Gaurav Nanda. "Aspect-Sentiment-Guided Opinion Summarization for User Need Elicitation From Online Reviews." In 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.
Повний текст джерелаMao, Qianren, Jianxin Li, Senzhang Wang, Yuanning Zhang, Hao Peng, Min He, and Lihong Wang. "Aspect-Based Sentiment Classification with Attentive Neural Turing Machines." In 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.
Повний текст джерелаLuo, Ling, Xiang Ao, Feiyang Pan, Jin Wang, Tong Zhao, Ningzi Yu, and Qing He. "Beyond Polarity: Interpretable Financial Sentiment Analysis with Hierarchical Query-driven Attention." In 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.
Повний текст джерелаAi, Xinzhi, Xiaoge Li, Feixiong Hu, Shuting Zhi, and Likun Hu. "Multi-Layer Attention Approach for Aspect based Sentiment Analysis." In 9th International Conference on Natural Language Processing (NLP 2020). AIRCC Publishing Corporation, 2020. http://dx.doi.org/10.5121/csit.2020.101410.
Повний текст джерелаJohn Sino Cruz, Matthew, and Marlene De Leon. "Analysis of citizen's sentiment towards Philippine administration's intervention against COVID-19." In 13th International Conference on Applied Human Factors and Ergonomics (AHFE 2022). AHFE International, 2022. http://dx.doi.org/10.54941/ahfe1001446.
Повний текст джерелаK. Aryal, Saurav, Howard Prioleau, and Gloria Washington. "Sentiment Classification of Code-Switched Text using Pre-Trained Multilingual Embeddings and Segmentation." In 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.
Повний текст джерелаDavoodi, Laleh, and József Mezei. "A Comparative Study of Machine Learning Models for Sentiment Analysis: Customer Reviews of E-Commerce Platforms." In Digital Restructuring and Human (Re)action. University of Maribor Press, 2022. http://dx.doi.org/10.18690/um.fov.4.2022.13.
Повний текст джерелаOliveira, Miguel V., and Tiago de Melo. "Investigating sets of linguistic features for two sentiment analysis tasks in Brazilian Portuguese web reviews." In Simpósio Brasileiro de Sistemas Multimídia e Web. Sociedade Brasileira de Computação, 2020. http://dx.doi.org/10.5753/webmedia_estendido.2020.13060.
Повний текст джерелаColley, Derek, and Md Asaduzzaman. "Construction and Performance Analysis of a Groomed Polarity Lexicon Derived from Product Review Source Datasets." In 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.
Повний текст джерелаAnh, 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." In 2022 IEEE Ninth International Conference on Communications and Electronics (ICCE). IEEE, 2022. http://dx.doi.org/10.1109/icce55644.2022.9852034.
Повний текст джерелаЗвіти організацій з теми "POLARITY DATASET"
Farahbod, A. M., and 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.
Повний текст джерела