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Publication search results
found 131 matches
- 2021
- Atif Khan
, Muhammad Adnan Gul, Muhammad Irfan Uddin, Syed Atif Ali Shah, Shafiq Ahmad, Muhammad Dzulqarnain Al Firdausi, Mazen Zaindin:
Corrigendum to "Summarizing Online Movie Reviews: A Machine Learning Approach to Big Data Analytics". Sci. Program. 2021: 7871490:1-7871490:1 (2021) - Yuan Gao, Maoguo Gong, Yu Xie, Alex Kai Qin:
An Attention-Based Unsupervised Adversarial Model for Movie Review Spam Detection. IEEE Trans. Multim. 23: 784-796 (2021) - Yuan Gao, Maoguo Gong, Yu Xie, A. Kai Qin:
An attention-based unsupervised adversarial model for movie review spam detection. CoRR abs/2104.00955 (2021) - 2020
- Atif Khan, Muhammad Adnan Gul, Mahdi Zareei, Roshan Biswal Rajesh, Asim Zeb, Muhammad Naeem, Yousaf Saeed, Naomie Salim:
Movie Review Summarization Using Supervised Learning and Graph-Based Ranking Algorithm. Comput. Intell. Neurosci. 2020: 7526580:1-7526580:14 (2020) - Li-Chen Cheng, Chi-Lun Huang:
Exploring contextual factors from consumer reviews affecting movie sales: an opinion mining approach. Electron. Commer. Res. 20(4): 807-832 (2020) - Haoxiang Ma, Jong Min Kim, Eunkyung Lee:
A 2020 perspective on "Analyzing dynamic review manipulation and its impact on movie box office revenue". Electron. Commer. Res. Appl. 41: 100950 (2020) - Jie Yang, Brian Yecies, Peter Yong Zhong:
Characteristics of Chinese Online Movie Reviews and Opinion Leadership Identification. Int. J. Hum. Comput. Interact. 36(3): 211-226 (2020) - Ibrahim Said Ahmad, Azuraliza Abu Bakar, Mohd Ridzwan Yaakub:
Movie Revenue Prediction Based on Purchase Intention Mining Using YouTube Trailer Reviews. Inf. Process. Manag. 57(5): 102278 (2020) - Canrui Wu, Chen Wang, Yipeng Zhou, Di Wu, Min Chen, Jessie Hui Wang, Jing Qin:
Exploiting user reviews for automatic movie tagging. Multim. Tools Appl. 79(17-18): 11399-11419 (2020) - Tianjie Deng:
Investigating the effects of textual reviews from consumers and critics on movie sales. Online Inf. Rev. 44(6): 1245-1265 (2020) - Atif Khan, Muhammad Adnan Gul, Muhammad Irfan Uddin, Syed Atif Ali Shah, Shafiq Ahmad, Muhammad Dzulqarnain Al Firdausi, Mazen Zaindin:
Summarizing Online Movie Reviews: A Machine Learning Approach to Big Data Analytics. Sci. Program. 2020: 5812715:1-5812715:14 (2020) - Sudipta Kar, Gustavo Aguilar, Mirella Lapata, Thamar Solorio:
Multi-view Story Characterization from Movie Plot Synopses and Reviews. EMNLP (1) 2020: 5629-5646 - A. Sheik Abdullah, K. Akash, J. ShaminThres, S. Selvakumar:
Sentiment Analysis of Movie Reviews Using Support Vector Machine Classifier with Linear Kernel Function. FICTA (1) 2020: 345-354 - Priya Patel, Devkishan Patel, Chandani Naik:
Sentiment Analysis on Movie Review Using Deep Learning RNN Method. FICTA (2) 2020: 155-163 - Paschalis Frangidis, Konstantinos Georgiou, Stefanos Papadopoulos:
Sentiment Analysis on Movie Scripts and Reviews - Utilizing Sentiment Scores in Rating Prediction. AIAI (1) 2020: 430-438 - Konstantina Iliopoulou, Andreas Kanavos, Aristidis Ilias, Christos Makris, Gerasimos Vonitsanos:
Improving Movie Recommendation Systems Filtering by Exploiting User-Based Reviews and Movie Synopses. AIAI Workshops 2020: 187-199 - Ilyos Rabbimov, Iosif Mporas, Vasiliki Simaki, Sami Kobilov:
Investigating the Effect of Emoji in Opinion Classification of Uzbek Movie Review Comments. SPECOM 2020: 435-445 - Ilyos Rabbimov, Iosif Mporas, Vasiliki Simaki, Sami Kobilov:
Investigating the Effect of Emoji in Opinion Classification of Uzbek Movie Review Comments. CoRR abs/2008.00482 (2020) - Hansub Shin, Hyuk-Yoon Kwon:
Weakly Supervised Learning for Judging the Credibility of Movie Reviews. CoRR abs/2010.05025 (2020) - 2019
- Sara El Aouad:
Personalized, Aspect-based Summarization of Movie Reviews. (Extraction de résumé personnalisé, basé sur les aspects des critiques de films). Sorbonne University, Paris, France, 2019 - Haoxiang Ma, Jong Min Kim, Eunkyung Lee:
Analyzing dynamic review manipulation and its impact on movie box office revenue. Electron. Commer. Res. Appl. 35 (2019) - H. M. Keerthi Kumar, B. S. Harish, H. K. Darshan:
Sentiment Analysis on IMDb Movie Reviews Using Hybrid Feature Extraction Method. Int. J. Interact. Multim. Artif. Intell. 5(5): 109-114 (2019) - Young-Jin Lee, Kellie B. Keeling, Andrew Urbaczewski:
The Economic Value of Online User Reviews with Ad Spending on Movie Box-Office Sales. Inf. Syst. Frontiers 21(4): 829-844 (2019) - Jyostna Devi Bodapati, Naralasetti Veeranjaneyulu, Shaik Nagur Shareef:
Sentiment Analysis from Movie Reviews Using LSTMs. Ingénierie des Systèmes d Inf. 24(1): 125-129 (2019) - Fan Wu, Shoushan Li, Guodong Zhou:
基于LSTM和多特征组合的电影评论专业程度分类 (Movie Review Professionalism Classification Using LSTM and Features Fusion). 计算机科学 46(6A): 74-79 (2019) - Anwar Ur Rehman, Ahmad Kamran Malik, Basit Raza, Waqar Ali:
A Hybrid CNN-LSTM Model for Improving Accuracy of Movie Reviews Sentiment Analysis. Multim. Tools Appl. 78(18): 26597-26613 (2019) - Maria Stratigi, Xiaozhou Li, Kostas Stefanidis, Zheying Zhang:
Ratings vs. Reviews in Recommender Systems: A Case Study on the Amazon Movies Dataset. ADBIS (Short Papers and Workshops) 2019: 68-76 - Billy Peralta, Victor Tirapegui, Christian Pieringer, Luis Alberto Caro:
A Simple Proposal for Sentiment Analysis on Movies Reviews with Hidden Markov Models. CIARP 2019: 152-162 - Hao-Hsun Li, Ming-Shien Cheng, Ping-Yu Hsu, Yen-Huei Ko, Zhi Chao Luo:
Exploring Chinese Dynamic Sentiment/Emotion Analysis with Text Mining - Taiwanese Popular Movie Reviews Comment as a Case. MIKE 2019: 84-93 - Karen S. Martins, Pedro O. S. Vaz de Melo:
Characterization of the discrepancies between scores and texts of movie reviews. WebMedia 2019: 229-236
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