@inproceedings{3bd2f72de8dd4c90a9ed489f41d5fc60,
title = "Discriminative features fusion with bert for social sentiment analysis",
abstract = "The need for sentiment analysis in social networks is increasing. In recent years, many studies have shifted from author sentiment research to reader sentiment research. However, the use of words that hinders sentiment analysis is very diverse. In this paper, we provide a model that combines the latest and most recent contextual text embedding technology and feature selection to more accurately detect the emotional intent of an article. We named it DF2BERT (Discriminative Features Fusion with Bert), and extensively applied datasets in different languages and different text classification tasks to validate our method, and compared it with several well-known approaches. Experimental results show that our model can effectively predict sentiment behind the text which outperform comparisons.",
keywords = "Deep neural network, Feature fusion, Natural language processing, Sentiment analysis, Text representation",
author = "Nguyen, {Duy Duc Le} and Huang, {Yen Chun} and Chang, {Yung Chun}",
note = "Publisher Copyright: {\textcopyright} Springer Nature Switzerland AG 2020.; 33rd International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2020 ; Conference date: 22-09-2020 Through 25-09-2020",
year = "2020",
doi = "10.1007/978-3-030-55789-8_3",
language = "English",
isbn = "9783030557881",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "30--35",
editor = "Hamido Fujita and Jun Sasaki and Philippe Fournier-Viger and Moonis Ali",
booktitle = "Trends in Artificial Intelligence Theory and Applications. Artificial Intelligence Practices - 33rd International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2020, Proceedings",
address = "Germany",
}