This study explores sentiment analysis within the context of movie reviews, a domain where understanding nuanced viewer perceptions can influence industry outcomes. Traditional methods often struggle with the complexity of language, where identical phrases may convey different sentiments based on their ...
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 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...
Sentiment analysis is the process of extracting the opinions of customers from online reviews. In general, customers express their reviews in natural language. It becomes a complex task when applying sentiment analysis on those reviews. In earlier stages, word-level features with various feature weigh...
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 datasets used for the experiments were IMDB movie reviews, Amazon Consumer Product reviews, and Twitter Review datasets. After this empirical study, we conclude that the inclusion of semantics for sentiment analysis tasks can greatly improve the performance of a classifier, as the semantic ...
Our approach achieved competitive results using state-of-the-art techniques on the IMDB movie review dataset and Amazon movie reviews dataset. 展开 关键词: Natural Language Processing (NLP) Sentiment Analysis CNN LSTM DOI: 10.1007/s11042-019-07788-7 ...