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A point-and-click tool for creating and analyzing topic models produced by MALLET.
extract relationships from standardized terms from corpus of interest with deep learning 🐟
R package for proportional classification and active learning
A text mining course for social scientists and digital humanists
中文长文本分类、短句子分类、多标签分类、两句子相似度（Chinese Text Classification of Keras NLP, multi-label classify, or sentence classify, long or short），字词句向量嵌入层（embeddings）和网络层（graph）构建基类，FastText，TextCNN，CharCNN，TextRNN,…
大规模中文自然语言处理语料 Large Scale Chinese Corpus for NLP
📚 Text classification library with Keras
Text Mining and Topic Modeling Toolkit for Python with parallel processing power
DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphic…
A curated list of awesome applications, softwares, tools and shiny things for macOS.
Generating labels for topics automatically using neural embeddings
Tutorial for the 2018 PolNet Workshop, "Introduction to Network Analysis Using R". To follow along with the workshop, clone or download, and work through the tutorial below, open 'Tutorial.html' in…
💫 Industrial-strength Natural Language Processing (NLP) in Python
Python sina weibo sdk. More simpler and cleaner than the official one.
This work is about porting the source code of book, Rapid GUI Programming with python and Qt, from PyQt4 to PyQt5.
Mesa is an open-source Python library for agent-based modeling, ideal for simulating complex systems and exploring emergent behaviors.
Ada library and tools for the analysis of Complex Networks and more
This project contains the code for the OUP book Data Science & Complex Networks
Learn how to process, classify, cluster, summarize, understand syntax, semantics and sentiment of text data with the power of Python! This repository contains code and datasets used in my book, "Te…
Python code for detecting topics/events from a Twitter stream