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Found 6 papers, 1 papers with code
Classifying Objects in 3D Point Clouds Using Recurrent Neural Network: A GRU LSTM Hybrid Approach
The proposed approach is a combination of the GRU and LSTM.
CapsF: Capsule Fusion for Extracting psychiatric stressors for suicide from twitter
Along with factors such as cancer, blood pressure, street accidents and stroke, suicide has been one of Iran main causes of death.
weighted CapsuleNet networks for Persian multi-domain sentiment analysis
This function was able to achieve 0. 0162 improvements in accuracy for sentiment classification.
TM-vector: A Novel Forecasting Approach for Market stock movement with a Rich Representation of Twitter and Market data
Various factors have been used for the effectiveness of the proposed forecasting approach, including the characteristics of each individual user, their impact on each other, and their impact on the market, to predict market direction more accurately.
SLCNN: Sentence-Level Convolutional Neural Network for Text Classification
Convolutional neural network (CNN), as a popular deep learning model, has shown remarkable success in the task of text classification.
TI-Capsule: Capsule Network for Stock Exchange Prediction
Today, the use of social networking data has attracted a lot of academic and commercial attention in predicting the stock market.
