2695 Open source projects that are alternatives of or similar to Artificial Adversary

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 .

Resources for learning about Text Mining and Natural Language Processing

Korpuslinguistik war noch nie so einfach...

Fake News Detection in Python

RMDL: Random Multimodel Deep Learning for Classification

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

Librería en Python para minería de texto y NLP

A curated list of data mining papers about fraud detection.

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.

🍊 📄 Text Mining add-on for Orange3

🍊 📊 💡 Orange: Interactive data analysis

Weaving analytical stories from text data

A keyphrase extractor for Persian

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

자연어 처리와 텍스트 분석을 위한 오픈소스 파이썬 라이브러리 입니다.

Text Mining in Python

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

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

Text vectorization tool to outperform TFIDF for classification tasks

CogComp's light-weight Python NLP annotators

TEANAPS 라이브러리를 활용한 자연어 처리와 텍스트 분석 방법론에 대해 다룹니다.

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BERT, LDA, and TFIDF based keyword extraction in Python

PHP-ML - Machine Learning library for PHP

Multi-class confusion matrix library in Python

Collection of stats, modeling, and data science tools in Python and R.

Multi-class text categorization using state-of-the-art pre-trained contextualized language models, e.g. BERT

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

A package that makes it trivial to create and evaluate machine learning pipeline architectures.

Materials for GWU DNSC 6279 and DNSC 6290.

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

Real-time sentiment analysis in Python using twitter's streaming api

📝 An awesome Data Science repository to learn and apply for real world problems.

Easy, fast clustering of texts

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。

A library of extension and helper modules for Python's data analysis and machine learning libraries.

Ranking, acceptance rate, deadline, and publication tips

parsing fixed width files content made easy

The Text Mining Elixir

Information Inference Service of the OpenAIRE system

Deduce: de-identification method for Dutch medical text

KNIME - Text Processing Extension (Labs)

CNN-RNN中文文本分类，基于TensorFlow

Relation Classification - SEMEVAL 2010 task 8 dataset

Pipeline for fast building text classification TF-IDF + LogReg baselines.

Text classification meets word embeddings.

Super simple text classifier using Naive Bayes. Plug-and-play, no dependencies

Term frequency–inverse document frequency for Chinese novel/documents implemented in python.

Rank 1 / 216

Loan Application Data Analysis

Curated list of Python resources for data science.

Conversational text Analysis using various NLP techniques

A simple collection of well working NLP models (Keras, H2O, StarSpace) tuned and benchmarked on a variety of datasets.

Use machine learning in AppInventor, with easy training using text, images, or numbers through the Machine Learning for Kids website.

A text analysis application for performing common NLP tasks through a web dashboard interface and an API

🔬 Очистка датасетов от мусора (нормализация, препроцессинг)

Implementing nlp papers relevant to classification with PyTorch, gluonnlp

Public repository for the PM4Py (Process Mining for Python) project.

A Locality Sensitive Hashing (LSH) library with an emphasis on large, highly-dimensional datasets.