Artículos de revistas sobre el tema "IMDb DATASET"
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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 completoNaeem, Muhammad Zaid, Furqan Rustam, Arif Mehmood, Mui-zzud-din, Imran Ashraf y Gyu Sang Choi. "Classification of movie reviews using term frequency-inverse document frequency and optimized machine learning algorithms". PeerJ Computer Science 8 (15 de marzo de 2022): e914. http://dx.doi.org/10.7717/peerj-cs.914.
Texto completoGupta, Ketan, Nasmin Jiwani y Neda Afreen. "A Combined Approach of Sentimental Analysis Using Machine Learning Techniques". Revue d'Intelligence Artificielle 37, n.º 1 (28 de febrero de 2023): 1–6. http://dx.doi.org/10.18280/ria.370101.
Texto completoIslam, Md Mahbubul y Joong-Hwan Baek. "A Hierarchical Approach toward Prediction of Human Biological Age from Masked Facial Image Leveraging Deep Learning Techniques". Applied Sciences 12, n.º 11 (24 de mayo de 2022): 5306. http://dx.doi.org/10.3390/app12115306.
Texto completoKwon, Hyun y Sanghyun Lee. "Textual Adversarial Training of Machine Learning Model for Resistance to Adversarial Examples". Security and Communication Networks 2022 (7 de abril de 2022): 1–12. http://dx.doi.org/10.1155/2022/4511510.
Texto completoGuo, Haolan. "Comparison Of Neural Network and Traditional Classifiers for Twitter Sentiment Analysis". Highlights in Science, Engineering and Technology 38 (16 de marzo de 2023): 1062–70. http://dx.doi.org/10.54097/hset.v38i.5996.
Texto completoNg, Hu, Glenn Jun Weng Chia, Timothy Tzen Vun Yap y Vik Tor Goh. "Modelling sentiments based on objectivity and subjectivity with self-attention mechanisms". F1000Research 10 (17 de mayo de 2022): 1001. http://dx.doi.org/10.12688/f1000research.73131.2.
Texto completoNg, Hu, Glenn Jun Weng Chia, Timothy Tzen Vun Yap y Vik Tor Goh. "Modelling sentiments based on objectivity and subjectivity with self-attention mechanisms". F1000Research 10 (4 de octubre de 2021): 1001. http://dx.doi.org/10.12688/f1000research.73131.1.
Texto completoSarker, Kamal Uddin, Mohammed Saqib, Raza Hasan, Salman Mahmood, Saqib Hussain, Ali Abbas y Aziz Deraman. "A Ranking Learning Model by K-Means Clustering Technique for Web Scraped Movie Data". Computers 11, n.º 11 (8 de noviembre de 2022): 158. http://dx.doi.org/10.3390/computers11110158.
Texto completoRawat, Deesha. "TV Show Popularity Analysis Using Data Mining". International Journal for Research in Applied Science and Engineering Technology 9, n.º 12 (31 de diciembre de 2021): 147–52. http://dx.doi.org/10.22214/ijraset.2021.39206.
Texto completoDubey, Gaurav, Richa Khera, Ashish Grover, Amandeep Kaur, Abhishek Goyal, Rajkumar Rajkumar, Harsh Khatter y Somya Srivastava. "A Hybrid Convolutional Network and Long Short-Term Memory (HBCNLS) model for Sentiment Analysis on Movie Reviews". International Journal on Recent and Innovation Trends in Computing and Communication 11, n.º 4 (4 de mayo de 2023): 341–48. http://dx.doi.org/10.17762/ijritcc.v11i4.6458.
Texto completoJain, Siddhartha, Ge Liu, Jonas Mueller y David Gifford. "Maximizing Overall Diversity for Improved Uncertainty Estimates in Deep Ensembles". Proceedings of the AAAI Conference on Artificial Intelligence 34, n.º 04 (3 de abril de 2020): 4264–71. http://dx.doi.org/10.1609/aaai.v34i04.5849.
Texto completoBuslim, Nurhayati, Lee Kyung Oh, Muhammad Hugo Athallah Hardy y Yusuf Wijaya. "Comparative Analysis of KNN, Naïve Bayes and SVM Algorithms for Movie Genres Classification Based on Synopsis." JURNAL TEKNIK INFORMATIKA 15, n.º 2 (23 de diciembre de 2022): 169–77. http://dx.doi.org/10.15408/jti.v15i2.29302.
Texto completoAgarwal, Manav, Shreya Venugopal, Rishab Kashyap y R. Bharathi. "Movie Success Prediction and Performance Comparison using Various Statistical Approaches". International Journal of Artificial Intelligence & Applications 13, n.º 1 (31 de enero de 2022): 19–36. http://dx.doi.org/10.5121/ijaia.2022.13102.
Texto completoOyewola, David Opeoluwa y Emmanuel Gbenga Dada. "Machine Learning Methods for Predicting the Popularity of Movies". Journal of Artificial Intelligence and Systems 4, n.º 1 (2022): 65–82. http://dx.doi.org/10.33969/ais.2022040105.
Texto completoChatterjee, Shuvamoy, Kushal Chakrabarti, Avishek Garain, Friedhelm Schwenker y Ram Sarkar. "JUMRv1: A Sentiment Analysis Dataset for Movie Recommendation". Applied Sciences 11, n.º 20 (9 de octubre de 2021): 9381. http://dx.doi.org/10.3390/app11209381.
Texto completoElsa Vania, Salma Nuraini y Dhian Satria Yudha Kartika. "PENGGUNAAN ALGORITMA K-MEANS CLUSTERING UNTUK MENENTUKAN REKOMENDASI FILM INDONESIA". Prosiding Seminar Nasional Teknologi dan Sistem Informasi 2, n.º 1 (18 de septiembre de 2022): 207–14. http://dx.doi.org/10.33005/sitasi.v2i1.299.
Texto completoAriatmanto, Dhani y Muhammad Ilham Arief. "PREDIKSI PELUANG KESUKSESAN FILM DALAM PRA PRODUKSI MENGGUNAKAN ALGORITMA DECISION TREE". JATI (Jurnal Mahasiswa Teknik Informatika) 7, n.º 1 (16 de febrero de 2023): 222–26. http://dx.doi.org/10.36040/jati.v7i1.6277.
Texto completoRehman, Muhammad Zubair, Kamal Z. Zamli, Mubarak Almutairi, Haruna Chiroma, Muhammad Aamir, Md Abdul Kader y Nazri Mohd Nawi. "A novel state space reduction algorithm for team formation in social networks". PLOS ONE 16, n.º 12 (2 de diciembre de 2021): e0259786. http://dx.doi.org/10.1371/journal.pone.0259786.
Texto completoGunawan, Putu Harry, Tb Dzulfiqar Alhafidh y Bambang Ari Wahyudi. "The Sentiment Analysis of Spider-Man: No Way Home Film Based on IMDb Reviews". Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) 6, n.º 1 (27 de febrero de 2022): 177–82. http://dx.doi.org/10.29207/resti.v6i1.3851.
Texto completoBasarslan, Muhammet Sinan y Fatih Kayaalp. "Sentiment Analysis with Machine Learning Methods on Social Media". ADCAIJ: Advances in Distributed Computing and Artificial Intelligence Journal 9, n.º 3 (17 de septiembre de 2020): 5–15. http://dx.doi.org/10.14201/adcaij202093515.
Texto completoZhang, Bowen. "A BERT-CNN Based Approach on Movie Review Sentiment Analysis". SHS Web of Conferences 163 (2023): 04007. http://dx.doi.org/10.1051/shsconf/202316304007.
Texto completoMahajan, Manan, Abhedya Mishra, Praveen Kumar y Ms Sapna Gupta. "Moviebox: A Movie Recommendation System". International Journal for Research in Applied Science and Engineering Technology 11, n.º 6 (30 de junio de 2023): 3410–14. http://dx.doi.org/10.22214/ijraset.2023.54258.
Texto completoGuha, Tapas y K. G. Mohan. "A Hybrid Deep Learning Model for Long-Term Sentiment Classification". Webology 17, n.º 2 (21 de diciembre de 2020): 663–76. http://dx.doi.org/10.14704/web/v17i2/web17059.
Texto completoHourrane, Oumaima, El Habib Benlahmar y Ahmed Zellou. "Comparative study of deep learning models for sentiment analysis". International Journal of Engineering & Technology 7, n.º 2.14 (12 de abril de 2018): 5726. http://dx.doi.org/10.14419/ijet.v7i4.24459.
Texto completoYechuri, Praveen Kumar y Suguna Ramadass. "Semantic Web Mining for Analyzing Retail Environment Using Word2Vec and CNN-FK". Ingénierie des systèmes d information 26, n.º 3 (30 de junio de 2021): 311–18. http://dx.doi.org/10.18280/isi.260308.
Texto completoMuhadzdzib Ramadhan, Muhammad Tsaqif y Erwin Budi Setiawan. "Netflix Movie Recommendation System Using Collaborative Filtering With K-Means Clustering Method on Twitter". JURNAL MEDIA INFORMATIKA BUDIDARMA 6, n.º 4 (25 de octubre de 2022): 2056. http://dx.doi.org/10.30865/mib.v6i4.4571.
Texto completoPrabhakar, Sunil Kumar, Harikumar Rajaguru y Dong-Ok Won. "Performance Analysis of Hybrid Deep Learning Models with Attention Mechanism Positioning and Focal Loss for Text Classification". Scientific Programming 2021 (26 de octubre de 2021): 1–12. http://dx.doi.org/10.1155/2021/2420254.
Texto completoBabhulkar, Mr Shubham. "Application of Machine Learning for Emotion Classification". International Journal for Research in Applied Science and Engineering Technology 9, n.º VII (20 de julio de 2021): 1567–72. http://dx.doi.org/10.22214/ijraset.2021.36459.
Texto completoSivakumar, Soubraylu y Ratnavel Rajalakshmi. "Analysis of Sentiment on Movie Reviews Using Word Embedding Self-Attentive LSTM". International Journal of Ambient Computing and Intelligence 12, n.º 2 (abril de 2021): 33–52. http://dx.doi.org/10.4018/ijaci.2021040103.
Texto completoQiu, Ningjia, Zhuorui Shen, Xiaojuan Hu y Peng Wang. "A novel sentiment classification model based on online learning". Journal of Algorithms & Computational Technology 13 (enero de 2019): 174830261984576. http://dx.doi.org/10.1177/1748302619845764.
Texto completoAmit Pimpalkar y Jeberson Retna Raj. "A Bi-Directional GRU Architecture for the Self-Attention Mechanism: An Adaptable, Multi-Layered Approach with Blend of Word Embedding". International Journal of Engineering and Technology Innovation 13, n.º 3 (4 de julio de 2023): 251–64. http://dx.doi.org/10.46604/ijeti.2023.11510.
Texto completoUnal, Fatima Zehra, Mehmet Serdar Guzel, Erkan Bostanci, Koray Acici y Tunc Asuroglu. "Multilabel Genre Prediction Using Deep-Learning Frameworks". Applied Sciences 13, n.º 15 (27 de julio de 2023): 8665. http://dx.doi.org/10.3390/app13158665.
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 completoLe Busque, Brianna y Carla Litchfield. "Sharks, spiders, snakes, oh my: A review of creature feature films". Journal of Environmental Media 4, n.º 1 (1 de abril de 2023): 49–75. http://dx.doi.org/10.1386/jem_00096_1.
Texto completoWassan, Sobia, Tian Shen, Chen Xi, Kamal Gulati, Danish Vasan y Beenish Suhail. "Customer Experience towards the Product during a Coronavirus Outbreak". Behavioural Neurology 2022 (2 de febrero de 2022): 1–18. http://dx.doi.org/10.1155/2022/4279346.
Texto completoIslam, Md Mahbubul y Joong-Hwan Baek. "Deep Learning Based Real Age and Gender Estimation from Unconstrained Face Image towards Smart Store Customer Relationship Management". Applied Sciences 11, n.º 10 (17 de mayo de 2021): 4549. http://dx.doi.org/10.3390/app11104549.
Texto completoSchneider, Frank M., Emese Domahidi y Felix Dietrich. "What Is Important When We Evaluate Movies? Insights from Computational Analysis of Online Reviews". Media and Communication 8, n.º 3 (13 de agosto de 2020): 153–63. http://dx.doi.org/10.17645/mac.v8i3.3134.
Texto completoAshish, Roy y B. G. Prasad. "Temporal face feature progression with cycle GAN". Journal of Physics: Conference Series 2161, n.º 1 (1 de enero de 2022): 012008. http://dx.doi.org/10.1088/1742-6596/2161/1/012008.
Texto completoJain, Mansi, Purvit Vashishtha, Aman Satyam y Smriti Sehgal. "CNN LSTM Hybrid Approach for Sentiment Analysis". International Journal for Research in Applied Science and Engineering Technology 11, n.º 5 (31 de mayo de 2023): 3096–107. http://dx.doi.org/10.22214/ijraset.2023.52191.
Texto completoBacco, Luca, Andrea Cimino, Felice Dell’Orletta y Mario Merone. "Explainable Sentiment Analysis: A Hierarchical Transformer-Based Extractive Summarization Approach". Electronics 10, n.º 18 (8 de septiembre de 2021): 2195. http://dx.doi.org/10.3390/electronics10182195.
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