🗣️ Tool to generate adversarial text examples and test machine learning models against them

A Python package implementing a new machine learning model for text classification with visualization tools for Explainable AI

Resources for learning about Text Mining and Natural Language Processing

基于scikit-learn实现对新浪新闻的文本分类，数据集为100w篇文档，总计10类，测试集与训练集1:1划分。分类算法采用SVM和Bayes，其中Bayes作为baseline。

RMDL: Random Multimodel Deep Learning for Classification

Summary of my projects on kaggle

BERT, LDA, and TFIDF based keyword extraction in Python

Code for paper "Hierarchical Text Classification with Reinforced Label Assignment" EMNLP 2019

basic algorithms and solutions

A java implement of Biterm Topic Model

Detecting cyberbullying in tweets using Machine Learning

Using the Tsetlin Machine to learn human-interpretable rules for high-accuracy text categorization with medical applications

Nodejs binding for fasttext representation and classification.

A simple Python wrapper to download tweets data from the Twitter Analytics platform. Particularly interesting for the impressions metrics that are unavailable on current Twitter API. Also works for the videos data.

It contain various script on web crawling/ data mining of social web(RSS,facebook,twitter,Linkedin)

Building a model to recognize incentives for landscape restoration in environmental policies from Latin America, the US and India. Bringing NLP to the world of policy analysis through an extensible framework that includes scraping, preprocessing, active learning and text analysis pipelines.

Lbl2Vec learns jointly embedded label, document and word vectors to retrieve documents with predefined topics from an unlabeled document corpus.

📉 使用 R 语言从拉勾网看数据挖掘岗位现状

Kaggle Twitter Sentiment Analysis Competition

UC Berkeley team's submission for RecSys Challenge 2018