RoBERTa-LSTM: A Hybrid Model for Sentiment Analysis With Transformer and Recurrent Neural Network Abstract: Due to the rapid development of technology, social media has become more and more common in ...

Amazon and Brent Crude demonstrate remarkably different risk profiles despite both being classified as "high risk" assets by our AI analysis. Amazon's average monthly volatility of 10.2% pales in ...

Sentiment analysis determines the emotional tone behind a series of words may essentially be used to understand the attitude, opinions, and emotions of users. We propose a novel long short-term memory ...

Aspect-based sentiment analysis aims to predict sentiment polarities of given aspects in text. Most current approaches employ attention-based neural methods to capture semantic relationships between ...

Experiments are conducted on four different sentimental analysis corpuses, namely, hotel, NLPCC2014, Douban movie reviews dataset, and Weibo. MoLeSy can achieve the best performance over previous ...

In this paper, we proposed MoLeSy, an augmented neural network for sentimental analysis, based on the study of Chinese grammar rules and neural network models commonly used in sentimental analysis ...

Sentiment analysis, which enables companies to determine the emotional value of communications, is now going beyond text analysis to include audio and video.