… recurrent neural networks (RNNs) are more common in text … strength detection, and offered
more accurate explanation and … network with one hidden layer to predict emotion categories. …

… deep neural network architectures for sentiment analysis. The … convolutional recurrent neural
network architecture with … class are accurately predicted out of the total predicted patterns. …

… studies of sentiment analysis systematically and explain the … The cross-domain analysis
predicts the sentiment of a target … combined with a Recurrent Neural Network in this study. …

… not the whole text as input, and LSTM to predict valence-arousal … The explanation may be
that SinaWeibo has broader topics … recurrent neural network model called AEC-LSTM, for text …

… This paper explains about Conv1D to construct the one-dimensional convolutional … based
technique that designed for sentimental analysis, modeling the languages, predicting the …

… help them make a quick understanding of current work and … TP is a positive class that is
predicted to be a positive class. … A recurrent neural network (RNN) is able to handle a variable-…

… Sentiment analysis aims to predict sentiment polarities (… In this section, we explain the
background of our sentiment … the recurrent neural networks (RNN) family, which are neural …

… However, we would like to use the Recurrent Neural Network … the recurrent neural network
gradually trains and predicts the … in the amount of tweets can be explained in this case of both …

… emotional recurrent unit (ERU), a recurrent neural network … the mechanism of our model is
explained in Section 3; results of … Then, we obtain the predicted sentiment intensity q t :(9) q t = …

… analyze in this study. To better understand the role of sequence-based and hierarchical
information in guiding neural mechanisms for prediction, … specific ways our understanding of the …