GitHub topics: recurrentneuralnetworks
steveee27/Emotion-Text-Classification-in-Social-Media-Using-Multiple-Text-Representation-and-Deep-RNN
This project explores emotion classification in social media texts using multiple text representation techniques (TF-IDF, Word2Vec, GloVe) and deep recurrent neural networks (GRU, LSTM, Bi-GRU, Bi-LSTM). The best model achieved an F1-Score of 0.9248, with Word2Vec and Bi-LSTM outperforming other combinations.
Language: Jupyter Notebook - Size: 22 MB - Last synced at: about 1 month ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0
davisliang/automated
[IJCNLP 2017 - Accepted] Multi-tasking deep learning framework that achieves state-of-the-art results in sentiment analysis, topic prediction, and hashtag recommendation.
Language: Python - Size: 66.4 MB - Last synced at: about 2 years ago - Pushed at: about 7 years ago - Stars: 21 - Forks: 4
