Text Classification
wikipedia2vec/wikipedia2vec
A tool for learning vector representations of words and entities from Wikipedia
🧠 Natural Language Processing
PythonOtherupdated May 3, 2024
Distribute and run transformer encoders with a single file.
$ git clone https://github.com/mozilla-ai/encoderfile.gitA tool for learning vector representations of words and entities from Wikipedia
Lbl2Vec learns jointly embedded label, document and word vectors to retrieve documents with predefined topics from an unlabeled document corpus.
用MLP、TextCNN、RNN、LSTM、GRU、Attention、RCNN、BERT做文本分类、情感分析,对比各模型于温泉旅游评论垂类语料下在情感分类任务上的表现
Data augmentation for NLP, presented at EMNLP 2019
State-of-the-art deep learning model for analyzing sentiment, emotion, sarcasm etc.
Natural language detection library for Rust. Try demo online: https://whatlang.org/
Data from GitHub · snapshot Sep 24, 2026