Sentiment Analysis of Persian Movie Reviews Using Deep Learning
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Hadi Larijani | Ahsan Adeel | Mandar Gogate | Amir Hussain | Kia Dashtipour | A. Hussain | Ahsan Adeel | M. Gogate | H. Larijani | K. Dashtipour | A. Adeel
[1] Kai Shuang,et al. Combining Word Order and CNN-LSTM for Sentence Sentiment Classification , 2017, ICSEB 2017.
[2] Pengfei Duan,et al. Word Embeddings and Convolutional Neural Network for Arabic Sentiment Classification , 2016, COLING.
[3] Lingfeng Niu,et al. Feature Selection of Network Data VIA ℓ2, p Regularization , 2020, Cogn. Comput..
[4] Syed Aziz Shah,et al. An Intelligent Non-Invasive Real-Time Human Activity Recognition System for Next-Generation Healthcare , 2020, Sensors.
[5] Qiang Zhou,et al. PerSent: A Freely Available Persian Sentiment Lexicon , 2016, BICS.
[6] Bing Liu,et al. Sentiment Analysis and Subjectivity , 2010, Handbook of Natural Language Processing.
[7] Yue Liu,et al. Aspect-Specific Sentimental Word Embedding for Sentiment Analysis of Online Reviews , 2016, WWW.
[8] Jürgen Schmidhuber,et al. Learning to Forget: Continual Prediction with LSTM , 2000, Neural Computation.
[9] Rodrigo C. Barros,et al. A character-based convolutional neural network for language-agnostic Twitter sentiment analysis , 2017, 2017 International Joint Conference on Neural Networks (IJCNN).
[10] Hadi Larijani,et al. A Survey on the Role of Wireless Sensor Networks and IoT in Disaster Management , 2018, Springer Natural Hazards.
[11] Xiaojie Zhao,et al. Mixture Kernel Density Estimation and Remedied Correlation Matrix on the EEG-Based Copula Model for the Assessment of Visual Discomfort , 2020, Cognitive Computation.
[12] Ahmad Y. A. Hawalah,et al. Novel Deep Convolutional Neural Network-Based Contextual Recognition of Arabic Handwritten Scripts , 2021, Entropy.
[13] Tiago A. Almeida,et al. Text normalization and semantic indexing to enhance Instant Messaging and SMS spam filtering , 2016, Knowl. Based Syst..
[14] Ashkan Hafezalkotob,et al. A New Risk-Based Fuzzy Cognitive Model and Its Application to Decision-Making , 2019, Cognitive Computation.
[15] Amir Hussain,et al. Real-Time Lightweight Chaotic Encryption for 5G IoT Enabled Lip-Reading Driven Secure Hearing-Aid , 2018, ArXiv.
[16] Muhammad Ali Imran,et al. Travelers-Tracing and Mobility Profiling Using Machine Learning in Railway Systems , 2020, 2020 International Conference on UK-China Emerging Technologies (UCET).
[17] Tunga Güngör,et al. Part-of-Speech Tagging , 2005 .
[18] Alimardani Saeedeh,et al. OPINION MINING IN PERSIAN LANGUAGE USING SUPERVISED ALGORITHMS , 2015 .
[19] Mario Andrés Paredes-Valverde,et al. Sentiment Analysis in Spanish for Improvement of Products and Services: A Deep Learning Approach , 2017, Sci. Program..
[20] Heri Ramampiaro,et al. Effective hate-speech detection in Twitter data using recurrent neural networks , 2018, Applied Intelligence.
[21] Chuandong Li,et al. Neural Network-Based Event-Triggered Adaptive Control Algorithms for Uncertain Nonlinear Systems with Actuator Failures , 2020, Cogn. Comput..
[22] Julie Beth Lovins,et al. Development of a stemming algorithm , 1968, Mech. Transl. Comput. Linguistics.
[23] Zixue Cheng,et al. CNN for situations understanding based on sentiment analysis of twitter data , 2017 .
[24] Lijun Liu,et al. Sentiment Analysis Using Convolutional Neural Network , 2015, 2015 IEEE International Conference on Computer and Information Technology; Ubiquitous Computing and Communications; Dependable, Autonomic and Secure Computing; Pervasive Intelligence and Computing.
[25] A. F. Adams,et al. The Survey , 2021, Dyslexia in Higher Education.
[26] Amir Hussain,et al. Deep Neural Network Driven Binaural Audio Visual Speech Separation , 2020, 2020 International Joint Conference on Neural Networks (IJCNN).
[27] Erik Cambria,et al. SenticNet 5: Discovering Conceptual Primitives for Sentiment Analysis by Means of Context Embeddings , 2018, AAAI.
[28] Jingpeng Li,et al. Robust Visual Saliency Optimization Based on Bidirectional Markov Chains , 2020, Cognitive Computation.
[29] Nehal Mohamed Ali,et al. SENTIMENT ANALYSIS FOR MOVIES REVIEWS DATASET USING DEEP LEARNING MODELS , 2019, International Journal of Data Mining & Knowledge Management Process.
[30] Saeedeh Momtazi,et al. Deep Persian sentiment analysis: Cross-lingual training for low-resource languages , 2020, J. Inf. Sci..
[31] Naeem Ramzan,et al. Detection of Atrial Fibrillation Using a Machine Learning Approach , 2020, Inf..
[32] Kaizhu Huang,et al. Random Features and Random Neurons for Brain-Inspired Big Data Analytics , 2019, 2019 International Conference on Data Mining Workshops (ICDMW).
[33] Amir Hussain,et al. Visual Speech In Real Noisy Environments (VISION): A Novel Benchmark Dataset and Deep Learning-Based Baseline System , 2020, INTERSPEECH.
[34] Jingpeng Li,et al. A Hybrid Persian Sentiment Analysis Framework: Integrating Dependency Grammar Based Rules and Deep Neural Networks , 2019, Neurocomputing.
[35] Qammer H. Abbasi,et al. Energy and Performance Trade-Off Optimization in Heterogeneous Computing via Reinforcement Learning , 2020 .
[36] Zain U. Hussain,et al. Artificial intelligence-enabled analysis of UK and US public attitudes on Facebook and Twitter towards COVID-19 vaccinations , 2020, medRxiv.
[37] Mohammad Ehsan Basiri,et al. Sentence-level sentiment analysis in Persian , 2017, 2017 3rd International Conference on Pattern Recognition and Image Analysis (IPRIA).
[38] Mohammad Ehsan Basiri,et al. A Framework for Sentiment Analysis in Persian , 2014 .
[39] Ausif Mahmood,et al. Deep Learning approach for sentiment analysis of short texts , 2017, 2017 3rd International Conference on Control, Automation and Robotics (ICCAR).
[40] Tariq S. Durrani,et al. A Comparative Study of Persian Sentiment Analysis Based on Different Feature Combinations , 2017, CSPS.
[41] A. Hussain,et al. Towards Next-Generation Lip-Reading Driven Hearing-Aids : A preliminary Prototype Demo , 2017 .
[42] Gholamreza Ghassem-Sani,et al. LexiPers: An ontology based sentiment lexicon for Persian , 2016, GCAI.
[43] Alexander F. Gelbukh,et al. Adaptation of Sentiment Analysis Techniques to Persian Language , 2017, CICLing.
[44] Maryam Hourali,et al. A Context-Based Disambiguation Model for Sentiment Concepts Using a Bag-of-Concepts Approach , 2020, Cognitive Computation.
[45] Amir Hussain,et al. A novel brain-inspired compression-based optimised multimodal fusion for emotion recognition , 2017, 2017 IEEE Symposium Series on Computational Intelligence (SSCI).
[46] Francesco Carlo Morabito,et al. Information Theoretic-Based Interpretation of a Deep Neural Network Approach in Diagnosing Psychogenic Non-Epileptic Seizures , 2018, Entropy.
[47] Amir Hussain,et al. Deep learning driven multimodal fusion for automated deception detection , 2017, 2017 IEEE Symposium Series on Computational Intelligence (SSCI).
[48] Kaizhu Huang,et al. Offline Arabic Handwriting Recognition Using Deep Machine Learning: A Review of Recent Advances , 2019, BICS.
[49] Fatemeh Amiri,et al. Lexicon-based Sentiment Analysis for Persian Text , 2015, RANLP.
[50] Amir Hussain,et al. Complex-valued computational model of hippocampal CA3 recurrent collaterals , 2017, 2017 IEEE 16th International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC).
[51] Behnam Sabeti,et al. Optimizing Annotation Effort Using Active Learning Strategies: A Sentiment Analysis Case Study in Persian , 2020, LREC.
[52] Daniel Zappala,et al. Analyzing the Political Sentiment of Tweets in Farsi , 2016, ICWSM.
[53] Walaa Medhat,et al. Sentiment analysis algorithms and applications: A survey , 2014 .
[54] Jun Wu,et al. Chinese text sentiment analysis based on improved Convolutional Neural Networks , 2016, 2016 7th IEEE International Conference on Software Engineering and Service Science (ICSESS).
[55] Amir Hussain,et al. A Survey on Deep Learning for the Routing Layer of Computer Network , 2019, 2019 UK/ China Emerging Technologies (UCET).
[56] Q. Abbasi,et al. A Review on Wearable and Contactless Sensing for COVID-19 With Policy Challenges , 2021, Frontiers in Communications and Networks.
[57] Hadi Larijani,et al. Statistical Analysis Driven Optimized Deep Learning System for Intrusion Detection , 2018, BICS.
[58] Neda Abdolvand,et al. A Supervised Method for Constructing Sentiment Lexicon in Persian Language , 2017 .
[59] Muhammad Tariq,et al. Cognitively Inspired Feature Extraction and Speech Recognition for Automated Hearing Loss Testing , 2019, Cognitive Computation.
[60] Ahsan Adeel,et al. A Semi-supervised Approach for Sentiment Analysis of Arab(ic+izi) Messages: Application to the Algerian Dialect , 2021, SN Computer Science.
[61] Jon Barker,et al. DNN driven Speaker Independent Audio-Visual Mask Estimation for Speech Separation , 2018, INTERSPEECH.
[62] Ayoub Bagheri,et al. Feature Selection Methods in Persian Sentiment Analysis , 2013, NLDB.
[63] Dilek Z. Hakkani-Tür,et al. Probabilistic model-based sentiment analysis of twitter messages , 2010, 2010 IEEE Spoken Language Technology Workshop.
[64] Yaoru Sun,et al. Sentiment Analysis of Movie Reviews Based on CNN-BLSTM , 2017, IFIP TC12 ICIS.
[65] Tomoko Ohkuma,et al. Sentiment Analysis for Low Resource Languages: A Study on Informal Indonesian Tweets , 2016, ALR@COLING.
[66] Laith H. Baniata,et al. Sentence Representation Network for Arabic Sentiment Analysis , 2016 .
[67] Francesco Carlo Morabito,et al. An Ensemble Based Classification Approach for Persian Sentiment Analysis , 2017, IIH-MSP.
[68] Erik Cambria,et al. Convolutional MKL Based Multimodal Emotion Recognition and Sentiment Analysis , 2016, 2016 IEEE 16th International Conference on Data Mining (ICDM).
[69] Geoffrey E. Hinton,et al. Deep Learning , 2015, Nature.
[70] Erik Cambria,et al. PerSent 2.0: Persian Sentiment Lexicon Enriched with Domain-Specific Words , 2019, BICS.
[71] Wansen Wang,et al. Notice of RetractionEmotion recognition based on CSO&SVM in e-learning , 2011, 2011 Seventh International Conference on Natural Computation.
[72] Muhammad Imran,et al. Machine Learning Framework for the Detection of Anomalies in Aqueous Solutions Using Terahertz Waves , 2021 .
[73] Lei Zhang,et al. Sentiment Analysis and Opinion Mining , 2017, Encyclopedia of Machine Learning and Data Mining.
[74] Sufal Das. Sentiment Analysis for Web-based Big Data: A Survey , 2017 .
[75] Baoxin Li,et al. Unsupervised Sentiment Analysis for Social Media Images , 2015, IJCAI.
[76] Min-Yuh Day,et al. Deep Learning for Sentiment Analysis on Google Play Consumer Review , 2017, 2017 IEEE International Conference on Information Reuse and Integration (IRI).
[77] Amir Hussain,et al. Persian Named Entity Recognition , 2017, 2017 IEEE 16th International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC).
[78] Amir Hussain,et al. Lip-Reading Driven Deep Learning Approach for Speech Enhancement , 2018, IEEE Transactions on Emerging Topics in Computational Intelligence.
[79] Erik Cambria,et al. A Novel Context-Aware Multimodal Framework for Persian Sentiment Analysis , 2021, Neurocomputing.
[80] Mandar Gogate,et al. A Generative Learning Approach to Sensor Fusion and Change Detection , 2016, Cognitive Computation.
[81] Long Chen,et al. Weakly-Supervised Deep Embedding for Product Review Sentiment Analysis , 2018, IEEE Transactions on Knowledge and Data Engineering.
[82] William J. Buchanan,et al. An Experimental Analysis of Attack Classification Using Machine Learning in IoT Networks , 2021, Sensors.
[83] Ahsan Adeel,et al. CochleaNet: A Robust Language-independent Audio-Visual Model for Speech Enhancement , 2019, Inf. Fusion.
[84] Tariq S. Durrani,et al. Toward's Arabic Multi-modal Sentiment Analysis , 2017, CSPS.
[85] Khuong Vo,et al. A Deep Architecture for Sentiment Analysis of News Articles , 2017, ICCSAMA.
[86] Arun Kumar Sangaiah,et al. Intelligent sentiment analysis approach using edge computing‐based deep learning technique , 2020, Softw. Pract. Exp..
[87] Shihui Ying,et al. Parameter Transfer Deep Neural Network for Single-Modal B-Mode Ultrasound-Based Computer-Aided Diagnosis , 2020, Cogn. Comput..