Artículos de revistas sobre el tema "POLARITY DATASET"
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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 completoStyles, Erin, Ji-Young Youn, Mojca Mattiazzi Usaj y Brenda Andrews. "Functional genomics in the study of yeast cell polarity: moving in the right direction". Philosophical Transactions of the Royal Society B: Biological Sciences 368, n.º 1629 (5 de noviembre de 2013): 20130118. http://dx.doi.org/10.1098/rstb.2013.0118.
Texto completoMohamed Mostafa, Ayman. "Enhanced Sentiment Analysis Algorithms for Multi-Weight Polarity Selection on Twitter Dataset". Intelligent Automation & Soft Computing 35, n.º 1 (2023): 1015–34. http://dx.doi.org/10.32604/iasc.2023.028041.
Texto completoA. Al Shamsi, Arwa y Sherief Abdallah. "Sentiment Analysis of Emirati Dialects". Big Data and Cognitive Computing 6, n.º 2 (17 de mayo de 2022): 57. http://dx.doi.org/10.3390/bdcc6020057.
Texto completoPevtsov, Alexei A., Kseniya A. Tlatova, Alexander A. Pevtsov, Elina Heikkinen, Ilpo Virtanen, Nina V. Karachik, Luca Bertello, Andrey G. Tlatov, Roger Ulrich y Kalevi Mursula. "Reconstructing solar magnetic fields from historical observations". Astronomy & Astrophysics 628 (agosto de 2019): A103. http://dx.doi.org/10.1051/0004-6361/201834985.
Texto completoSarkar, Kamal. "Sentiment Polarity Detection in Bengali Tweets Using Deep Convolutional Neural Networks". Journal of Intelligent Systems 28, n.º 3 (26 de julio de 2019): 377–86. http://dx.doi.org/10.1515/jisys-2017-0418.
Texto completoHaralabopoulos, Giannis, Ioannis Anagnostopoulos y Derek McAuley. "Ensemble Deep Learning for Multilabel Binary Classification of User-Generated Content". Algorithms 13, n.º 4 (1 de abril de 2020): 83. http://dx.doi.org/10.3390/a13040083.
Texto completoGhabayen, Ayman S. y Basem H. Ahmed. "Polarity Analysis of Customer Reviews Based on Part-of-Speech Subcategory". Journal of Intelligent Systems 29, n.º 1 (15 de agosto de 2019): 1535–44. http://dx.doi.org/10.1515/jisys-2018-0356.
Texto completoAiyanyo, Imatitikua D., Hamman Samuel y Heuiseok Lim. "Effects of the COVID-19 Pandemic on Classrooms: A Case Study on Foreigners in South Korea Using Applied Machine Learning". Sustainability 13, n.º 9 (29 de abril de 2021): 4986. http://dx.doi.org/10.3390/su13094986.
Texto completoLu, Shan, Jichang Zhao y Huiwen Wang. "Trading Imbalance in Chinese Stock Market—A High-Frequency View". Entropy 22, n.º 8 (15 de agosto de 2020): 897. http://dx.doi.org/10.3390/e22080897.
Texto completoTelegin, Felix Y., Viktoria S. Karpova, Anna O. Makshanova, Roman G. Astrakhantsev y Yuriy S. Marfin. "Solvatochromic Sensitivity of BODIPY Probes: A New Tool for Selecting Fluorophores and Polarity Mapping". International Journal of Molecular Sciences 24, n.º 2 (7 de enero de 2023): 1217. http://dx.doi.org/10.3390/ijms24021217.
Texto completoLiu, Xu, Abdelouahed Gherbi, Wubin Li, Zhenzhou Wei y Mohamed Cheriet. "TaijiGNN: A New Cycle-Consistent Generative Neural Network for High-Quality Bidirectional Transformation between RGB and Multispectral Domains". Sensors 21, n.º 16 (10 de agosto de 2021): 5394. http://dx.doi.org/10.3390/s21165394.
Texto completoGade, Prof Swati. "Product Fake Reviews Detection with Sentiment Analysis Using Machine Learning". International Journal for Research in Applied Science and Engineering Technology 11, n.º 5 (31 de mayo de 2023): 5863–68. http://dx.doi.org/10.22214/ijraset.2023.53030.
Texto completoAngelidis, Stefanos y Mirella Lapata. "Multiple Instance Learning Networks for Fine-Grained Sentiment Analysis". Transactions of the Association for Computational Linguistics 6 (diciembre de 2018): 17–31. http://dx.doi.org/10.1162/tacl_a_00002.
Texto completoMostafa, Ayman Mohamed, Meeaad Aljasir, Meshrif Alruily, Ahmed Alsayat y Mohamed Ezz. "Innovative Forward Fusion Feature Selection Algorithm for Sentiment Analysis Using Supervised Classification". Applied Sciences 13, n.º 4 (5 de febrero de 2023): 2074. http://dx.doi.org/10.3390/app13042074.
Texto completoSingh, Purva. "Covhindia: Deep Learning Framework for Sentiment Polarity Detection of Covid-19 Tweets in Hindi". International Journal on Natural Language Computing 9, n.º 5 (30 de octubre de 2020): 23–34. http://dx.doi.org/10.5121/ijnlc.2020.9502.
Texto completoDhabekar, Shweta y M. D. Patil. "Implementation of Deep Learning Based Sentiment Classification and Product Aspect Analysis". ITM Web of Conferences 40 (2021): 03032. http://dx.doi.org/10.1051/itmconf/20214003032.
Texto completoMejova, Yelena y Padmini Srinivasan. "Exploring Feature Definition and Selection for Sentiment Classifiers". Proceedings of the International AAAI Conference on Web and Social Media 5, n.º 1 (3 de agosto de 2021): 546–49. http://dx.doi.org/10.1609/icwsm.v5i1.14163.
Texto completoKhabour, Safaa M., Qasem A. Al-Radaideh y Dheya Mustafa. "A New Ontology-Based Method for Arabic Sentiment Analysis". Big Data and Cognitive Computing 6, n.º 2 (29 de abril de 2022): 48. http://dx.doi.org/10.3390/bdcc6020048.
Texto completoSmadi, Mohammad Al, Islam Obaidat, Mahmoud Al-Ayyoub, Rami Mohawesh y Yaser Jararweh. "Using Enhanced Lexicon-Based Approaches for the Determination of Aspect Categories and Their Polarities in Arabic Reviews". International Journal of Information Technology and Web Engineering 11, n.º 3 (julio de 2016): 15–31. http://dx.doi.org/10.4018/ijitwe.2016070102.
Texto completoAssiri, Adel, Ahmed Emam y Hmood Al-Dossari. "Towards enhancement of a lexicon-based approach for Saudi dialect sentiment analysis". Journal of Information Science 44, n.º 2 (23 de enero de 2017): 184–202. http://dx.doi.org/10.1177/0165551516688143.
Texto completoKarim, Musarat, Malik Muhammad Saad Missen, Muhammad Umer, Alisha Fida, Ala’ Abdulmajid Eshmawi, Abdullah Mohamed y Imran Ashraf. "Comprehension of polarity of articles by citation sentiment analysis using TF-IDF and ML classifiers". PeerJ Computer Science 8 (13 de diciembre de 2022): e1107. http://dx.doi.org/10.7717/peerj-cs.1107.
Texto completoNguyen, Huyen T. M., Hung V. Nguyen, Quyen T. Ngo, Luong X. Vu, Vu Mai Tran, Bach X. Ngo y Cuong A. Le. "VLSP SHARED TASK: SENTIMENT ANALYSIS". Journal of Computer Science and Cybernetics 34, n.º 4 (30 de enero de 2019): 295–310. http://dx.doi.org/10.15625/1813-9663/34/4/13160.
Texto completoFarkhod, Akhmedov, Akmalbek Abdusalomov, Fazliddin Makhmudov y Young Im Cho. "LDA-Based Topic Modeling Sentiment Analysis Using Topic/Document/Sentence (TDS) Model". Applied Sciences 11, n.º 23 (23 de noviembre de 2021): 11091. http://dx.doi.org/10.3390/app112311091.
Texto completoAlali, Muath, Nurfadhlina Mohd Sharef, Masrah Azrifah Azmi Murad, Hazlina Hamdan y Nor Azura Husin. "Multitasking Learning Model Based on Hierarchical Attention Network for Arabic Sentiment Analysis Classification". Electronics 11, n.º 8 (9 de abril de 2022): 1193. http://dx.doi.org/10.3390/electronics11081193.
Texto completoWARIN, THIERRY y WILLIAM SANGER. "THE SPEECHES OF THE EUROPEAN CENTRAL BANK’s PRESIDENTS: AN NLP STUDY". Global Economy Journal 20, n.º 02 (junio de 2020): 2050009. http://dx.doi.org/10.1142/s2194565920500098.
Texto completoAndreyestha, Andreyestha y Agus Subekti. "ANALISA SENTIMENT PADA ULASAN FILM DENGAN OPTIMASI ENSEMBLE LEARNING". Jurnal Informatika 7, n.º 1 (6 de abril de 2020): 15–23. http://dx.doi.org/10.31311/ji.v7i1.6171.
Texto completoOnyenwe, Ikechukwu, Samuel N. C. Nwagbo Nwagbo, Ebele Onyedinma Onyedinma, Onyedika Ikechukwu-Onyenwe Onyenwe, Chidinma A. Nwafor y Obinna Agbata. "Location-based Sentiment Analysis of 2019 Nigeria Presidential Election using a Voting Ensemble Approach". International Journal on Natural Language Computing 12, n.º 1 (27 de febrero de 2023): 1–22. http://dx.doi.org/10.5121/ijnlc.2023.12101.
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 completoAhanin, Zahra, Maizatul Akmar Ismail, Narinderjit Singh Sawaran Singh y Ammar AL-Ashmori. "Hybrid Feature Extraction for Multi-Label Emotion Classification in English Text Messages". Sustainability 15, n.º 16 (18 de agosto de 2023): 12539. http://dx.doi.org/10.3390/su151612539.
Texto completoNafan, Muhammad Zidny y Andika Elok Amalia. "Kecenderungan Tanggapan Masyarakat terhadap Ekonomi Indonesia berbasis Lexicon Based Sentiment Analysis". JURNAL MEDIA INFORMATIKA BUDIDARMA 3, n.º 4 (6 de octubre de 2019): 268. http://dx.doi.org/10.30865/mib.v3i4.1283.
Texto completoLai, Kwun-Ping, Jackie Chun-Sing Ho y Wai Lam. "Using Latent Fine-Grained Sentiment for Cross-Domain Sentiment Analysis". International Journal of Knowledge-Based Organizations 11, n.º 3 (julio de 2021): 29–45. http://dx.doi.org/10.4018/ijkbo.2021070103.
Texto completoFayyoumi, Ebaa y Sahar Idwan. "Semantic Partitioning and Machine Learning in Sentiment Analysis". Data 6, n.º 6 (21 de junio de 2021): 67. http://dx.doi.org/10.3390/data6060067.
Texto completoMusfiroh, Desi, Ulfa Khaira, Pradita Eko Prasetyo Utomo y Tri Suratno. "Analisis Sentimen terhadap Perkuliahan Daring di Indonesia dari Twitter Dataset Menggunakan InSet Lexicon". MALCOM: Indonesian Journal of Machine Learning and Computer Science 1, n.º 1 (6 de marzo de 2021): 24–33. http://dx.doi.org/10.57152/malcom.v1i1.20.
Texto completoCortis, Keith y Brian Davis. "A Dataset of Multidimensional and Multilingual Social Opinions for Malta’s Annual Government Budget". Proceedings of the International AAAI Conference on Web and Social Media 15 (22 de mayo de 2021): 971–81. http://dx.doi.org/10.1609/icwsm.v15i1.18120.
Texto completoKumari, Suman, Basant Agarwal y Mamta Mittal. "A Deep Neural Network Model for Cross-Domain Sentiment Analysis". International Journal of Information System Modeling and Design 12, n.º 2 (abril de 2021): 1–16. http://dx.doi.org/10.4018/ijismd.2021040101.
Texto completoSetyanto, Arief, Arif Laksito, Fawaz Alarfaj, Mohammed Alreshoodi, Kusrini, Irwan Oyong, Mardhiya Hayaty, Abdullah Alomair, Naif Almusallam y Lilis Kurniasari. "Arabic Language Opinion Mining Based on Long Short-Term Memory (LSTM)". Applied Sciences 12, n.º 9 (20 de abril de 2022): 4140. http://dx.doi.org/10.3390/app12094140.
Texto completoRyoba, Michael J., Shaojian Qu, Ying Ji y Deqiang Qu. "The Right Time for Crowd Communication during Campaigns for Sustainable Success of Crowdfunding: Evidence from Kickstarter Platform". Sustainability 12, n.º 18 (16 de septiembre de 2020): 7642. http://dx.doi.org/10.3390/su12187642.
Texto completoPatel, Ravikumar y Kalpdrum Passi. "Sentiment Analysis on Twitter Data of World Cup Soccer Tournament Using Machine Learning". IoT 1, n.º 2 (10 de octubre de 2020): 218–39. http://dx.doi.org/10.3390/iot1020014.
Texto completoGourisaria, Mahendra Kumar, Satish Chandra, Himansu Das, Sudhansu Shekhar Patra, Manoj Sahni, Ernesto Leon-Castro, Vijander Singh y Sandeep Kumar. "Semantic Analysis and Topic Modelling of Web-Scrapped COVID-19 Tweet Corpora through Data Mining Methodologies". Healthcare 10, n.º 5 (10 de mayo de 2022): 881. http://dx.doi.org/10.3390/healthcare10050881.
Texto completoBatanović, Vuk, Miloš Cvetanović y Boško Nikolić. "A versatile framework for resource-limited sentiment articulation, annotation, and analysis of short texts". PLOS ONE 15, n.º 11 (12 de noviembre de 2020): e0242050. http://dx.doi.org/10.1371/journal.pone.0242050.
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