6401 Open source projects that are alternatives of or similar to Text Mining

Repo for Applied Text Mining in Python (coursera) by University of Michigan

Ipython Notebooks for solving problems like classification, segmentation, generation using latest Deep learning algorithms on different publicly available text and image data-sets.

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

The aim of this repository is to show a baseline model for text classification by implementing a LSTM-based model coded in PyTorch. In order to provide a better understanding of the model, it will be used a Tweets dataset provided by Kaggle.

This case study shows how to create a model for text analysis and classification and deploy it as a web service in Azure cloud in order to automatically classify support tickets. This project is a proof of concept made by Microsoft (Commercial Software Engineering team) in collaboration with Endava http://endava.com/en

Starter code to solve real world text data problems. Includes: Gensim Word2Vec, phrase embeddings, Text Classification with Logistic Regression, word count with pyspark, simple text preprocessing, pre-trained embeddings and more.

fastNLP: A Modularized and Extensible NLP Framework. Currently still in incubation.

Text Classification by Convolutional Neural Network in Keras

implement the paper" Very Deep Convolutional Networks for Natural Language Processing"(https://arxiv.org/abs/1606.01781 ) in tensorflow

Educational material on using the TensorFlow Estimator framework for text classification

A library that incorporates state-of-the-art explainers for text-based machine learning models and visualizes the result with a built-in dashboard.

AraVec is a pre-trained distributed word representation (word embedding) open source project which aims to provide the Arabic NLP research community with free to use and powerful word embedding models.

A web app to create and browse text visualizations for automated customer listening.

Awesome-Text-Classification Projects,Papers,Tutorial .

An experiment about re-implementing supervised learning models based on shallow neural network approaches (e.g. fastText) with some additional exclusive features and nice API. Written in Python and fully compatible with Scikit-learn.

HDLTex: Hierarchical Deep Learning for Text Classification

CNN for intent classification task in a Chatbot

Your Advanced Twitter stalking tool

Materials for GWU DNSC 6279 and DNSC 6290.

Based on the Pytorch-Transformers library by HuggingFace. To be used as a starting point for employing Transformer models in text classification tasks. Contains code to easily train BERT, XLNet, RoBERTa, and XLM models for text classification.

Korpuslinguistik war noch nie so einfach...

parsing fixed width files content made easy

Deduce: de-identification method for Dutch medical text

【微信公众号：大邓和他的python】, Python语法快速入门https://www.bilibili.com/video/av44384851 Python网络爬虫快速入门https://www.bilibili.com/video/av72010301, 我的联系邮箱[email protected]

An easy-to-use library to extract indices from texts.

BERT, LDA, and TFIDF based keyword extraction in Python

Explaining textual analysis tools in Python. Including Preprocessing, Skip Gram (word2vec), and Topic Modelling.

My solution to the Natural Language Processing course made by Dan Jurafsky, Chris Manning in Winter 2012.

Text Classification Algorithms: A Survey

Text vectorization tool to outperform TFIDF for classification tasks

Extract indicators of compromise from text, including "escaped" ones.

Fake News Detection in Python

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

CogComp's light-weight Python NLP annotators

A list of NLP(Natural Language Processing) tutorials

This repository provides everything to get started with Python for Text Mining / Natural Language Processing (NLP)

An example on how to train supervised classifiers for multi-label text classification using sklearn pipelines

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, "Text Analytics with Python" published by Apress/Springer.

Text Classification through CNN, RNN & HAN using Keras

A simple NLP library allows profiling datasets with one or more text columns. When given a dataset and a column name containing text data, NLP Profiler will return either high-level insights or low-level/granular statistical information about the text in that column.

短文本聚类预处理模块 Short text cluster

RMDL: Random Multimodel Deep Learning for Classification

A keyphrase extractor for Persian

자연어 처리와 텍스트 분석을 위한 오픈소스 파이썬 라이브러리 입니다.

Weaving analytical stories from text data

TEANAPS 라이브러리를 활용한 자연어 처리와 텍스트 분석 방법론에 대해 다룹니다.

🔬 Очистка датасетов от мусора (нормализация, препроцессинг)

Easy, fast clustering of texts

BERT for Multitask Learning

A collection of notebooks for Natural Language Processing from NLP Town

Resources for learning about Text Mining and Natural Language Processing

[2017知乎看山杯 多标签 文本分类] ye组(第六名) 解题方案

Machine Learning Lectures at the European Space Agency (ESA) in 2018

PipeIt is a text transformation, conversion, cleansing and extraction tool.

Machine Learning and NLP: Text Classification using python, scikit-learn and NLTK

This repository contains the code related to Natural Language Processing using python scripting language. All the codes are related to my book entitled "Python Natural Language Processing"

Multi-label Classification with BERT; Fine Grained Sentiment Analysis from AI challenger

The Python Code Tutorials

This repository contains small projects related to Neural Networks and Deep Learning in general. Subjects are closely linekd with articles I publish on Medium. I encourage you both to read as well as to check how the code works in the action.