1093 Open source projects that are alternatives of or similar to Textvec

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

Stanford NLP group's shared Python tools.

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

Resources for learning about Text Mining and Natural Language Processing

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.

fastNLP: A Modularized and Extensible NLP Framework. Currently still in incubation.

【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]

BERT, LDA, and TFIDF based keyword extraction in Python

Selected Machine Learning algorithms for natural language processing and semantic analysis in Golang

Python library for Natural Language Preprocessing (NLPre)

A Modern C++ Data Sciences Toolkit

Text Mining in Python

🔮Deep Learning for text made easy with AllenNLP

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

Given a job title and job description, the algorithm assigns a standard occupational classification (SOC) code to the job.

Language, Knowledge, Cognition

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

💫 Industrial-strength Natural Language Processing (NLP) in Python

中文分词 词性标注 命名实体识别 依存句法分析 成分句法分析 语义依存分析 语义角色标注 指代消解 风格转换 语义相似度 新词发现 关键词短语提取 自动摘要 文本分类聚类 拼音简繁转换 自然语言处理

A tool for learning vector representations of words and entities from Wikipedia

👑 spaCy building blocks and visualizers for Streamlit apps

Expands texts as you type, naturally

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

A practical guide to topic mining and interactive visualizations

Text Classification Algorithms: A Survey

Learn how to process, classify, cluster, summarize, understand syntax, semantics and sentiment of text data with the power of Python! This repository contains code and datasets used in my book, "Text Analytics with Python" published by Apress/Springer.

Pytorch implementation of "Graph Convolutional Networks for Text Classification"

[ACL 2020] Tensorflow implementation for "Every Document Owns Its Structure: Inductive Text Classification via Graph Neural Networks"

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

中文文本分类实践，基于搜狗新闻语料库，采用传统机器学习方法以及预训练模型等方法

KNIME - Text Processing Extension (Labs)

A Model for Natural Language Attack on Text Classification and Inference

Textpipe: clean and extract metadata from text

A neural network intent parser

Open Korean Text Processor - An Open-source Korean Text Processor

PyNLPl, pronounced as 'pineapple', is a Python library for Natural Language Processing. It contains various modules useful for common, and less common, NLP tasks. PyNLPl can be used for basic tasks such as the extraction of n-grams and frequency lists, and to build simple language model. There are also more complex data types and algorithms. Moreover, there are parsers for file formats common in NLP (e.g. FoLiA/Giza/Moses/ARPA/Timbl/CQL). There are also clients to interface with various NLP specific servers. PyNLPl most notably features a very extensive library for working with FoLiA XML (Format for Linguistic Annotation).

The Python Code Tutorials

Natural language detection library for Rust. Try demo online: https://www.greyblake.com/whatlang/

Natural Language Processing Best Practices & Examples

🌿 An easy-to-use Japanese Text Processing tool, which makes it possible to switch tokenizers with small changes of code.

Preprocessing Library for Natural Language Processing

Ipython Notebooks for solving problems like classification, segmentation, generation using latest Deep learning algorithms on different publicly available text and image data-sets.

Text Classification of Nepali Language Document. This Mini Project was done for the partial fulfillment of NLP Course : COMP 473.

Text classification with Sparse Composite Document Vectors.

Mycroft's multilingual text parsing and formatting library

Arabic support for textblob

The greynir.is natural language processing website for Icelandic

Official Ruby client for the MonkeyLearn API. Build and consume machine learning models for language processing from your Ruby apps.

A list of NLP(Natural Language Processing) tutorials

NLP DNN Toolkit - Building Your NLP DNN Models Like Playing Lego

Code for the old version of BioMedICUS, for the new version see the biomedicus3 repository.

My solution to the Natural Language Processing course made by Dan Jurafsky, Chris Manning in Winter 2012.

A collection of Natural language processing pre-trained models.

CogComp's light-weight Python NLP annotators

A web app to create and browse text visualizations for automated customer listening.

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.

Korpuslinguistik war noch nie so einfach...

Machine learning based text classification in JavaScript using n-grams and cosine similarity

Kadot, the unsupervised natural language processing library.

Official Python client for the MonkeyLearn API. Build and consume machine learning models for language processing from your Python apps.