248 Open source projects that are alternatives of or similar to estratto

TEANAPS 라이브러리를 활용한 자연어 처리와 텍스트 분석 방법론에 대해 다룹니다.

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

A keyphrase extractor for Persian

Weaving analytical stories from text data

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.

Deduce: de-identification method for Dutch medical text

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

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

CogComp's light-weight Python NLP annotators

자연어 처리와 텍스트 분석을 위한 오픈소스 파이썬 라이브러리 입니다.

短文本聚类预处理模块 Short text cluster

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

Korpuslinguistik war noch nie so einfach...

🔬 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

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

Text Mining in Python

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

Fake News Detection in Python

A fast implementation of single-pattern substring search using SIMD acceleration.

HDLTex: Hierarchical Deep Learning for Text Classification

Text preprocessing, representation and visualization from zero to hero.

syn - the thesaurus

Handling Strings in R

Multilingual Rapid Automatic Keyword Extraction (RAKE) for Python

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

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.

Fast readability scores for text data

Awesome-Text-Classification Projects,Papers,Tutorial .

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

📝 JagTag is a simple - yet powerful and customizable - interpretted text parsing language!

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

Palladian is a Java-based toolkit with functionality for text processing, classification, information extraction, and data retrieval from the Web.

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.

Fast, Consistent Tokenization of Natural Language Text

Recommendation system for Stack Overflow unanswered questions

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

Biomedical NLP Corpus or Datasets.

Text Normalization & Inverse Text Normalization

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

Automatically extract chemical information from scientific documents

The Text Mining Elixir

[Deprecated] A Swift parser combinator framework

⛔ ARCHIVED ⛔ Fetch 'Scholary' Full Text from 'Crossref'

(deprecated) 🐱 koshort is a Python package for Korean internet spoken language crawling and processing... or maybe Korean domestic cat.

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

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"

Program to convert lines of text into a tree structure.

Multilingual implementation of RAKE algorithm for Rust

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

KH Coder: for Quantitative Content Analysis or Text Mining

Twitter Text Libraries for Python

A curated list of NLP resources for Hungarian

Python & command-line tool to gather text on the Web: web crawling/scraping, extraction of text, metadata, comments

Easy, fast clustering of texts

Beautiful visualizations of how language differs among document types.

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.