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.
Portfolio in Python
Rank 1 / 216
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
TextSentimentClassification, using tensorflow.
🗚🐀 serving fastText model with golang
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.
Finding a Artists Style
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.
Kesci公众健康问句分类 决赛第8名解决方案
Naive Bayes algorithm for multi-category text classification.
Several methods to solve text classification problems
Sentiment on K-12 Learning during COVID-19
This is a toy implementation of RNNText on zhihu tag classification dataset.
High-accuracy Core ML model for sentiment analysis trained on a large-scale dataset. Built with Create ML to classify sentiment for tweets and general text inputs, bypassing Twitter API dependencies.
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