ConText v4: Neural networks for text categorization
$ git clone https://github.com/riejohnson/ConText.gitTarget-dependent sentiment classification in news articles reporting on political events. Includes a high-quality data set of over 11k sentences and a state-of-the-art classification model.
Tensorflow Implementation of Recurrent Neural Network (Vanilla, LSTM, GRU) for Text Classification
็จMLPใTextCNNใRNNใLSTMใGRUใAttentionใRCNNใBERTๅๆๆฌๅ็ฑปใๆ ๆๅๆ๏ผๅฏนๆฏๅๆจกๅไบๆธฉๆณๆ ๆธธ่ฏ่ฎบๅ็ฑป่ฏญๆไธๅจๆ ๆๅ็ฑปไปปๅกไธ็่กจ็ฐ
๐ญ Sentiment Analysis of Twitter data using combined CNN and LSTM Neural Network models
This project's aim, is to explore the world of Natural Language Processing (NLP) by building what is known as a Sentiment Analysis Model. We will be implementing and comparing both a Naรฏve Bayes and a Deep Learning LSTM model.
Text Classification by Convolutional Neural Network in Keras
Data from GitHub ยท snapshot Sep 24, 2026