Sentiment Analysis of Movie Reviews with Deep Learning Methods Sentiment Analysis of Movie Reviews with Deep Learning Methods

dc.contributor 侯文娟 zh_TW
dc.contributor Hou, Wen-Juan en_US 曾相利 zh_TW Indra Pramana en_US 2019-09-05T11:15:10Z 2019-05-05 2019-09-05T11:15:10Z 2019
dc.description.abstract none zh_TW
dc.description.abstract Sentiment analysis is one of the most popular and important research field in natural language processing (NLP). The purpose of this thesis is to propose a deep learning neural network for polarity sentiment analysis of movie reviews. Preparation data is the foundation to build the sentiment analysis model. In this phase NLP techniques will be useful. Preprocessing for the data has been implemented in this work. In this study, we focus to measure semantic similarity between words and the system will learn word embedding by the data for fitting the neural network to create a sentiment analysis classification model of movie reviews which can predict the outputs of positive or negative opinions on the documents. Our experiment is to creates 5 models of neural networks for comparison to achieve a better result. Long-Short Term Memory (LSTM) is used because the memory cell can memorize the long term of words, and carry the previous information to current input. Furthermore, Bidirectional LSTM (BLSTM) is used which can carry information from the past and the future. Besides, Convolutional Neural Network (CNN) is also experimented in this study. We make a comparison between the networks of single LSTM, BLSTM, CNN-LSTM, CNN-BLSTM and CNN. Finally, we have successfully to achieve a high accuracy for this study. BLSTM network achieves the best performance of accuracy (89.39%) and F1 score (89.99%). en_US
dc.description.sponsorship 資訊工程學系 zh_TW
dc.identifier G060547068S
dc.language 英文
dc.subject movie review zh_TW
dc.subject sentiment analysis zh_TW
dc.subject CNN zh_TW
dc.subject LSTM zh_TW
dc.subject BLSTM zh_TW
dc.subject word embedding zh_TW
dc.subject natural language processing zh_TW
dc.subject deep learning zh_TW
dc.subject neural network zh_TW
dc.subject movie review en_US
dc.subject sentiment analysis en_US
dc.subject CNN en_US
dc.subject LSTM en_US
dc.subject BLSTM en_US
dc.subject word embedding en_US
dc.subject natural language processing en_US
dc.subject deep learning en_US
dc.subject neural network en_US
dc.title Sentiment Analysis of Movie Reviews with Deep Learning Methods zh_TW
dc.title Sentiment Analysis of Movie Reviews with Deep Learning Methods en_US
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