917 Open source projects that are alternatives of or similar to Textfooler

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

Resources for learning about Text Mining and Natural Language Processing

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

Pytorch implementation of "Graph Convolutional Networks for Text Classification"

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

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

Arabic support for textblob

Kadot, the unsupervised natural language processing library.

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

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

The Python Code Tutorials

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

Natural Language Processing Best Practices & Examples

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.

👑 spaCy building blocks and visualizers for Streamlit apps

🔮Deep Learning for text made easy with AllenNLP

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 collection of Natural language processing pre-trained models.

Accelerated deep learning R&D

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

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.

A list of NLP(Natural Language Processing) tutorials

Text classification with Sparse Composite Document Vectors.

Text vectorization tool to outperform TFIDF for classification tasks

State of the Art Natural Language Processing

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

Code and source for paper ``How to Fine-Tune BERT for Text Classification?``

Based on the Pytorch-Transformers library by HuggingFace. To be used as a starting point for employing Transformer models in text classification tasks. Contains code to easily train BERT, XLNet, RoBERTa, and XLM models for text classification.

This repository contains the code related to Natural Language Processing using python scripting language. All the codes are related to my book entitled "Python Natural Language Processing"

A curated list of Open Information Extraction (OIE) resources: papers, code, data, etc.

👄 The most accurate natural language detection library in the Rust ecosystem, suitable for long and short text alike

AI Research Platform for Reinforcement Learning from Real Panoramic Images.

🏥 Medical Text Mining and Information Extraction with spaCy

LanguageCrunch NLP server docker image

LDA topic modeling for node.js

2018-DC-“达观杯”文本智能处理挑战赛：冠军 (1st/3131)

The Tensorflow code for this ACL 2018 paper: "Baseline Needs More Love: On Simple Word-Embedding-Based Models and Associated Pooling Mechanisms"

Graph-based and Transition-based dependency parsers based on BiLSTMs

AI算法岗求职攻略（涵盖准备攻略、刷题指南、内推和AI公司清单等资料）

a Deep Learning Framework for Text

Source code for transferable dialogue state generator (TRADE, Wu et al., 2019). https://arxiv.org/abs/1905.08743

A curated list of awesome Distributed Deep Learning resources.

A dataset of millions of news articles scraped from a curated list of data sources.

API of Articut 中文斷詞 (兼具語意詞性標記)：「斷詞」又稱「分詞」，是中文資訊處理的基礎。Articut 不用機器學習，不需資料模型，只用現代白話中文語法規則，即能達到 SIGHAN 2005 F1-measure 94% 以上，Recall 96% 以上的成績。

An easy to use Natural Language Processing library and framework for predicting, training, fine-tuning, and serving up state-of-the-art NLP models.

Detecting cyberbullying in tweets using Machine Learning

Convolutional Neural Network for Text Classification in Keras

A collection of datasets that pair questions with SQL queries.

BlueBERT, pre-trained on PubMed abstracts and clinical notes (MIMIC-III).

Lbl2Vec learns jointly embedded label, document and word vectors to retrieve documents with predefined topics from an unlabeled document corpus.

Using the Tsetlin Machine to learn human-interpretable rules for high-accuracy text categorization with medical applications

PySwip is a Python - SWI-Prolog bridge enabling to query SWI-Prolog in your Python programs. It features an (incomplete) SWI-Prolog foreign language interface, a utility class that makes it easy querying with Prolog and also a Pythonic interface.

[CIKM 2018] Weakly-Supervised Neural Text Classification

Code for paper "Hierarchical Text Classification with Reinforced Label Assignment" EMNLP 2019

This is the template code to use BERT for sequence lableing and text classification, in order to facilitate BERT for more tasks. Currently, the template code has included conll-2003 named entity identification, Snips Slot Filling and Intent Prediction.

Official implementation of the paper “GECToR – Grammatical Error Correction: Tag, Not Rewrite” // Published on BEA15 Workshop (co-located with ACL 2020) https://www.aclweb.org/anthology/2020.bea-1.16.pdf

🧹 Python package for text cleaning

Natural Language Processing Tasks and References

Nodejs binding for fasttext representation and classification.

Kaggle Twitter Sentiment Analysis Competition