MixText: Linguistically-Informed Interpolation of Hidden Space for Semi-Supervised Text Classification
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Updated
Jun 5, 2020 - Jupyter Notebook
MixText: Linguistically-Informed Interpolation of Hidden Space for Semi-Supervised Text Classification
All NLP you Need Here. 目前包含15个NLP demo的pytorch实现(大量代码借鉴于其他开源项目,原先是自己玩的,后来干脆也开源出来)
Fine-tuned pre-trained GPT2 for custom topic specific text generation. Such system can be used for Text Augmentation.
自然语言处理相关实验实现 some experiment of natural language processing, Like text classification, named entity recognition, pos-tags, segment, key words extractor, auto summarize etc.
Rank 1 / 216
Portfolio in Python
TextSentimentClassification, using tensorflow.
Fake News Detection - Feature Extraction using Vectorization such as Count Vectorizer, TFIDF Vectorizer, Hash Vectorizer,. Then used an Ensemble model to classify whether the news is fake or not.
Short Text Classification with Deep Neural Networks: An Experimental Analysis
🗚🐀 serving fastText model with golang
Apply CNN-LSTM model on multi-class text classification task.
TFIDF being the most basic and simple topic in NLP, there's alot that can be done using TFIDF only! So, in this repo, I'll be adding the blog, TFIDF basics, wonders done using tfidf etc.
Text Classification Competition for Sarcasm Detection in Tweets using BERT model
NLP starter kit
A basic machine learning model built in python jupyter notebook to classify whether a set of tweets into two categories: racist/sexist non-racist/sexist.
Several methods to solve text classification problems
Kesci公众健康问句分类 决赛第8名解决方案
Implemented a Research paper "PubMed 200k RCT: a Dataset for Sequential Sentence Classification in Medical Abstracts. Use Hybrid Embedding (char + token + positional).
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