This study's goal is to create a model of sentiment analysis on a 2000 rows IMDB movie comments and 3200 Twitter data by using machine learning and vector space techniques; positive or negative preliminary information about the text is to provide. In the study, a vector space was created in...
Opinion Mining on Movie Reviews Based on Deep Learning Models This cleaned IMDb dataset is evaluated on the proposed model for sentiment analysis in which XLNet performs well achieving an impressive 93.74% accuracy on ... MM Danyal,M Haseeb,SS Khan,... - Journal of Artificial Intelligence (2579...
Based on the user text evaluation data of Douban and IMDB, this paper realizes the judgment of movie tendency and the mining and analysis of hidden informa... L Tang - Springer, Singapore 被引量: 0发表: 2022年 Sentiment analysis of movie reviews on discussion boards using a linguistic approa...
Bo Pang and Lillian Lee. 2004.A Sentimental Education: Sentiment Analysis Using Subjectivity Summarization Based on Minimum Cuts. ACL, 271-278 我们面临的任务是“Polarity detection: Is anIMDBmovie review positive or negative?”,数据集为“Polrity Data 2.0:http://www.cs.cornell.edu/people/pabo/mov...
In this paper, two techniques for sentiment classification are proposed: Gujarati Lexicon Sentiment Analysis (GLSA) and Gujarati Machine Learning Sentiment... P Shah,P Swaminarayan,M Patel - 《Journal of Ict Research & Applications》 被引量: 0发表: 2023年 Sentiment classification of movie reviews:...
Bo Pang and Lillian Lee. 2004.A Sentimental Education: Sentiment Analysis Using Subjectivity Summarization Based on Minimum Cuts. ACL, 271-278 我们面临的任务是“Polarity detection: Is anIMDBmovie review positive or negative?”,数据集为“Polrity Data 2.0:http://www.cs.cornell.edu/people/pabo/mov...
The effort included the creation of a new lexicon, Expanded OntoSenticNet (EON), by merging OntoSenticNet and SentiWordNet, and experiments were made on the "IMDB movie review" dataset, with the three main approaches for sentiment analysis: lexicon-based, supervised machine learning and hybrids ...
In this project we used Google Cloud and implement Logistic Regression with PySpark (Machine Learning), Long Short-Term Memory Network (Deep Learning) and Gated Recurrent Unit network (Deep Learning) for sentiment analysis task (binary Classification). We used two data sets include IMDB and Movie...