457 Open source projects that are alternatives of or similar to clustext

BERT, LDA, and TFIDF based keyword extraction in Python

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

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

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

Library of state-of-the-art models (PyTorch) for NLP tasks

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

Awesome-Text-Classification Projects,Papers,Tutorial .

HDLTex: Hierarchical Deep Learning for Text Classification

Text preprocessing, representation and visualization from zero to hero.

中文文本分析工具包（包括- 文本分类 - 文本聚类 - 文本相似性 - 关键词抽取 - 关键短语抽取 - 情感分析 - 文本纠错 - 文本摘要 - 主题关键词-同义词、近义词-事件三元组抽取）

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.

Resources for learning about Text Mining and Natural Language Processing

【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]

Text Mining in Python

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.

Fake News Detection in Python

Text Classification by Convolutional Neural Network in Keras

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.

RMDL: Random Multimodel Deep Learning for Classification

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.

Easily access song lyrics from Genius in a tibble.

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

Char-level RNN LSTM text generator📄.

A data package containing lexicons and dictionaries for text analysis

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

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

🍊 📄 Text Mining add-on for Orange3

短文本聚类预处理模块 Short text cluster

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

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

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

A Python 3 phonetics library.

Materials for GWU DNSC 6279 and DNSC 6290.

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

A practical guide to topic mining and interactive visualizations

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

Automatically extract chemical information from scientific documents

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

Python package for Korean natural language processing.

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

finetune bert for small dataset text classification in a few-shot learning manner using ProtoNet

Fast n-Gram Tokenization

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

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

Natural Korean Processor for Apache Spark

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

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.

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

💫 Automated codification of Greek Legislation with NLP

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

Text mining using tidy tools ✨📄✨

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

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

📈 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

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

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.

KH Coder: for Quantitative Content Analysis or Text Mining

NLP pipeline software using common workflow language

A curated list of NLP resources for Hungarian