Hands-On Machine Learning with C++

Sentiment Analysis with Recurrent Neural Networks

Currently, the recurrent neural network (RNN) is one of the most well-known and practical approaches used to construct deep neural networks. They are designed to process time-series data. Typically, data of this nature is found in the following tasks:

• Natural language text processing, such as text analysis and automatic translation
• Automatic speech recognition
• Video processing, for predicting the next frame based on previous frames, and for recognizing emotions
• Image processing, for generating image descriptions
• Time series analysis, for predicting fluctuations in exchange rates or company stock prices

In recurrent networks, communications between elements form a directed sequence. Thanks ...