Top 152 text-mining open source projects

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.

Materials for GWU DNSC 6279 and DNSC 6290.

Text Classification by Convolutional Neural Network in Keras

Analytic platform for real-time large-scale streams containing structured and unstructured data.

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.

Fake News Detection in Python

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

HDLTex: Hierarchical Deep Learning for Text Classification

Reworked https://www.readability.com/ parsing library (now https://mercury.postlight.com/ is living alternative)

Text preprocessing, representation and visualization from zero to hero.

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.

Multilingual Rapid Automatic Keyword Extraction (RAKE) for Python

Fast, Consistent Tokenization of Natural Language Text

Library to scrape and clean web pages to create massive datasets.

R package for Tokenization, Parts of Speech Tagging, Lemmatization and Dependency Parsing Based on the UDPipe Natural Language Processing Toolkit

Awesome-Text-Classification Projects,Papers,Tutorial .

📖 A curated list of resources dedicated to Natural Language Processing (NLP)

Automatically extract chemical information from scientific documents

👷‍♂️ A simple package for extracting useful features from character objects 👷‍♀️

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

Quantitative Discourse Analysis Package: Bridging the gap between qualitative data and quantitative analysis

This repository is for my students of Udemy. You can find all lecture codes along with mentioned files for reading in here. So, feel free to clone it and if you have any problem just raise a question.

Code & data accompanying the KDD 2017 paper "KATE: K-Competitive Autoencoder for Text"

a curated list of R tutorials for Data Science, NLP and Machine Learning

KH Coder: for Quantitative Content Analysis or Text Mining

A curated list of NLP resources for Hungarian

Beautiful visualizations of how language differs among document types.

CogComp's light-weight Python NLP annotators

短文本聚类预处理模块 Short text cluster

Easily access song lyrics from Genius in a tibble.

This repository contains code and bonus content which will be added from time to time for the book "Learning Social Media Analytics with R" by Packt

Char-level RNN LSTM text generator📄.

A PureScript, browser-based implementation of LDA topic modeling.

A data package containing lexicons and dictionaries for text analysis

List of textual data sources to be used for text mining in R

🍊 📄 Text Mining add-on for Orange3

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

A Python 3 phonetics library.

A practical guide to topic mining and interactive visualizations

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

Python package for Korean natural language processing.

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

Fast n-Gram Tokenization

Natural Korean Processor for Apache Spark

An implementation of "Network Representation Learning with Rich Text Information" (IJCAI '15).

A social media platform with a friend recommendation engine based on personality trait extraction

💫 Automated codification of Greek Legislation with NLP

Text mining using tidy tools ✨📄✨

MetaSRA: normalized sample-specific metadata for the Sequence Read Archive

📈 Regression and Classification with UC Davis student quiz data and exam data

Manuscript of the book "Tidy Text Mining with R" by Julia Silge and David Robinson

NLP pipeline software using common workflow language

A configurable web spider with a easy-to-use web console

Text Mining in Python

Python implementation of bag-of-concepts

AutoPhrase: Automated Phrase Mining from Massive Text Corpora

Python implementation of the Rapid Automatic Keyword Extraction algorithm using NLTK.

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.

Fast vectorization, topic modeling, distances and GloVe word embeddings in R.