Experimental results indicate that training on written movie reviews is a promising alternative to exclusively using (spoken) in-domain data for building a system that analyzes spoken movie review videos, and that language-independent audio-visual analysis can compete with linguistic analysis. 展开 ...
Sentiment Analysis on Book Reviews Using Convolutional Neural Network (CNN) Long Short-Term Memory (LSTM) Hybrid Sentiment analysis is one of the most prominent methods on gathering and analyzing insightful textual data from various sources. The information produced f... Lenz Baron S. Balita,Kyle ...
Sentiment Analysis on Twitter Data by Using Convolutional Neural Network (CNN) and Long Short Term Memory (LSTM) Twitter sentiment analysis is an automated process of analyzing the text data which determining the opinion or feeling of public tweets from the various fields. For example, in marketing...
[Wilson, Wiebe, and Hoffmann 2005]Recognizing Contextual Polarity in Phrase-Level Sentiment Analysis 否定词(negation) 否定词在情感分析中也是一个关键元素,它会改变文本表达的情感倾向。有很多相关研究: [Polanyi and Zaenen 2006]Contextual Valence Shifters [Taboada et al. 2011]Lexicon-Based Methods for ...
Sentiment Analysis of Movie Reviews Based on CNN-BLSTM Sentiment analysis has been a hot area in the research field of language understanding, but complex deep neural network used in it is still lacked. In this study, we combine convolutional neural networks (CNNs) and BLSTM (bidirectional L....
Sentiment analysis of telecom official micro-blog users based on LSTM deep learning model As an internet media, China Telecom official micro-blog is an important channel for the company to publish information and get feedback from users. Users' ... X Cai,J Lou - 《Telecommunications Science》...
A Survey on Feature Level Sentiment Analysis In recent years we highly consider opinions of friends, domain experts for decision making in day today's life. For example, which brand is best for certain product, whether the current movie is good, whether product gives better perform... Neha S...
Sentiment analysis is widely applied in product reviews, movie reviews, Twitter and Microblog. In this paper, we throw light on sentiment classification of topical Chinese Microblog, namely, analysis sentiment express style of Microblog, and then classify Microblog to positive, negative or neutral acco...
A Hybrid CNN-LSTM Model for Improving Accuracy of Movie Reviews Sentiment Analysis Nowadays, social media has become a tremendous source of acquiring user's opinions. With the advancement of technology and sophistication of the internet, ... AU Rehman,AK Malik,B Raza,... - 《Multimedia Tools ...
Sentiment analysis on the text review helps to analyze the sentiment of users about the product and predict the sales of a product. The existing techniques in sentiment analysis use Long Short-Term Memory (LSTM) and Convolutional Neural Network (CNN) models that have limitations of vanishing ...