Text classification with Convolution Neural Networks on Yelp, IMDB & sentence polarity dataset v1.0 - cmasch/cnn-text-classification. ... I also used pre-trained embedding GloVe with 300 dimensional ...

It has two fields: "stars" and "text". The "text" field is customer's raw review sentence, and the "stars" field is the customer's rating for the corresponding review, ranging from 1 to 5. The model ...

Multi-level attention models are integrated into an end-to-end trainable CNN-RNN architecture for highlighting the meaningful text words and image regions. We first apply TieNet to classify the chest ...

Evaluations are conducted using key performance metrics, including accuracy, precision, recall, and F1 score. With an accuracy of 86.2 %, the results demonstrate that the combined CNN-BiGRU-BiLSTM ...