530 Open source projects that are alternatives of or similar to advanced-text-mining

자연어 처리와 텍스트 분석을 위한 오픈소스 파이썬 라이브러리 입니다.

A keyphrase extractor for Persian

Korpuslinguistik war noch nie so einfach...

CogComp's light-weight Python NLP annotators

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

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

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

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

Text Mining in Python

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.

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

extract text from any document. no muss. no fuss.

🔬 Очистка датасетов от мусора (нормализация, препроцессинг)

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

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

Resources for learning about Text Mining and Natural Language Processing

RMDL: Random Multimodel Deep Learning for Classification

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

短文本聚类预处理模块 Short text cluster

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

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

Materials for GWU DNSC 6279 and DNSC 6290.

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

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

Weaving analytical stories from text data

parsing fixed width files content made easy

Information Inference Service of the OpenAIRE system

텐서플로2와 머신러닝으로 시작하는 자연어처리 (로지스틱회귀부터 BERT와 GPT3까지) 실습자료

Deduce: de-identification method for Dutch medical text

🇰🇷 Simple Korean text search module

(Beta) PyKOMORAN is wrapped KOMORAN in Python using Py4J.

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

Collection of cheatsheets for data science, machine learning and deep learning :).

2017第一届腾讯社交广告高校算法大赛Rank28_code

Text Generation using Markov Chains fed by 4chan APIs

A simple implementation of K-means (and Bisecting K-means) clustering algorithm in Python

Генератор сырых дампов пользователей VK.

本笔记是对课程CS 259D中涉及的论文和讲义的扩展，建议阅读原始论文和讲义。

pathpy is an OpenSource python package for the modeling and analysis of pathways and temporal networks using higher-order and multi-order graphical models

Text mining cancer biomarkers for the CIVIC database

Strips boilerplate from Project Gutenberg text files

Network Embedding Survey and Resources

Korean Easy Data Augmentation

g2pK: g2p module for Korean

Genie: A Fast and Robust Hierarchical Clustering Algorithm (this R package has now been superseded by genieclust)

Transformers Pipeline with KoELECTRA

Mixing Dirichlet Topic Models and Word Embeddings to Make lda2vec from this paper https://arxiv.org/abs/1605.02019

Searches online paste sites for certain search terms which can indicate a possible data breach.

A sharp cut(1) clone.

Transliterate español (spanish) spelling to andaluz proposals using javascript

Website for "A survey of learning to hash for Computer Vision" https://learning2hash.github.io

An implementation of "Fusing Structure and Content via Non-negative Matrix Factorization for Embedding Information Networks".

Build a Flask web application to help users retrieve key restaurant information and feature-based reviews (generated by applying market-basket model – Apriori algorithm and NLP on user reviews).

Demo of basic machine learning models in python with Jupter Notebook

🏆DataCon大数据安全分析大赛，2019年方向二（恶意代码检测）冠军源码、2020年方向五（恶意代码分析）季军源码

Drop-in replacements for base R string functions powered by stringi

“合肥高新杯”心电人机智能大赛 —— 心电异常事件预测 TOP1 Solution

TextDigester: document summarization java library

IPO Investment via Text Mining.

PowerShell “standard” library for supercharging your productivity. Provides a powerful cross-platform scripting environment enabling efficient analysis and sustainable science in myriad contexts.