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

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ModifyAI 公众号项目

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.

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.

🗚🐀 serving fastText model with golang

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.

Naive Bayes algorithm for multi-category text classification.

Kesci公众健康问句分类 决赛第8名解决方案

Sentiment on K-12 Learning during COVID-19

Several methods to solve text classification problems

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.

Twitter sentiment analysis for 2019 Canadian Elections using Natural Language Processing.

Text Classifier App for iOS, powered by Apple Vision & CreateML framework

FastTextClassification is all you need for text classification! Fast text classification for everyone, enjoy your NLP journey! 这可能是目前为止最全面的开源文本分类项目，支持中英双语、多种模型、多种任务。

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Implemented a Research paper "PubMed 200k RCT: a Dataset for Sequential Sentence Classification in Medical Abstracts. Use Hybrid Embedding (char + token + positional).

Apply CNN-LSTM model on multi-class text classification task.

应用cnn/rnn实现文本分类

Classify whether a tweet constitutes a rumour event

Comparing four different Deep Learning and machine Learning Algorithms to build a Spam Detector to identify unsolicited and unwanted emails. Exploring the process of classifying emails as spam or not spam by converting text data(emails) into vectors and Evaluate their performance

Sentiment Analysis for Consumer Behavior Prediction