543 Open source projects that are alternatives of or similar to nlpbuddy

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.

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.

Compute Sentence Embeddings Fast!

Augmenty is an augmentation library based on spaCy for augmenting texts.

BERT, LDA, and TFIDF based keyword extraction in Python

all kinds of text classification models and more with deep learning

FastText for Node.js

🦆 Contextually-keyed word vectors

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

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.

📓 Long(er) text representation and classification using Doc2Vec embeddings

R wrapper for fastText

Text classification models implemented in Keras, including: FastText, TextCNN, TextRNN, TextBiRNN, TextAttBiRNN, HAN, RCNN, RCNNVariant, etc.

Resources for learning about Text Mining and Natural Language Processing

Neural models for Text Classification in Tensorflow, such as cnn, dpcnn, fasttext, bert ...

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

Topic Modelling for Humans

Language detection using Spacy and Fasttext

【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]

Multi-Class Text Classification for products based on their description with Machine Learning algorithms and Neural Networks (MLP, CNN, Distilbert).

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

A Modern C++ Data Sciences Toolkit

A Python interface for Facebook fastText

Pre-training of Deep Bidirectional Transformers for Language Understanding: pre-train TextCNN

Text vectorization tool to outperform TFIDF for classification tasks

Fake News Detection in Python

all kinds of baseline models for long text classificaiton( text categorization)

👑 spaCy building blocks and visualizers for Streamlit apps

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

中文长文本分类、短句子分类、多标签分类、两句子相似度（Chinese Text Classification of Keras NLP, multi-label classify, or sentence classify, long or short），字词句向量嵌入层（embeddings）和网络层（graph）构建基类，FastText，TextCNN，CharCNN，TextRNN, RCNN, DCNN, DPCNN, VDCNN, CRNN, Bert, Xlnet, Albert, Attention, DeepMoji, HAN, 胶囊网络-CapsuleNet, Transformer-encode, Seq2seq, SWEM, LEAM, TextGCN

Fast word vectors with little memory usage in Python

Awesome-Text-Classification Projects,Papers,Tutorial .

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

Extensive tutorials for the Advanced NLP Workshop in Open Data Science Conference Europe 2020. We will leverage machine learning, deep learning and deep transfer learning to learn and solve popular tasks using NLP including NER, Classification, Recommendation \ Information Retrieval, Summarization, Classification, Language Translation, Q&A and T…

Using pre trained word embeddings (Fasttext, Word2Vec)

A fast, efficient universal vector embedding utility package.

ADAM - A Question Answering System. Inspired from IBM Watson

Documents, papers and codes related to Natural Language Processing, including Topic Model, Word Embedding, Named Entity Recognition, Text Classificatin, Text Generation, Text Similarity, Machine Translation)，etc. All codes are implemented intensorflow 2.0.

Library for fast text representation and extreme classification.

Nodejs binding for fasttext representation and classification.

ML based projects such as Spam Classification, Time Series Analysis, Text Classification using Random Forest, Deep Learning, Bayesian, Xgboost in Python

NLP in Python with Deep Learning

Natural language understanding library for chatbots with intent recognition and entity extraction.

Social Media Mining Toolkit (SMMT) main repository

Система, анализирующая тональность текстов и высказываний.

A comprehensive tool for linguistic analysis of communities

multi-label，classifier，text classification，多标签文本分类，文本分类，BERT，ALBERT，multi-label-classification，seq2seq，attention，beam search

DaCy: The State of the Art Danish NLP pipeline using SpaCy

French models for spacy

Relation Classification - SEMEVAL 2010 task 8 dataset

Python library for feature selection for text features. It has filter method, genetic algorithm and TextFeatureSelectionEnsemble for improving text classification models. Helps improve your machine learning models

Instructions for how to convert a BERT Tensorflow model to work with HuggingFace's pytorch-transformers, and spaCy. This walk-through uses DeepPavlov's RuBERT as example.

⚡ Using deep learning (MLP, CNN, Graph CNN) to classify text in TensorFlow.

Text classification meets word embeddings.

🌊 Machine learning dataset loaders for testing and example scripts

Curated list of all NLP Resources

A deep text classifiers library.

Tools for shrinking fastText models (in gensim format)

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

Weakly supervised medical named entity classification