407 Open source projects that are alternatives of or similar to node-fasttext

A Python interface for Facebook fastText

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

all kinds of text classification models and more with deep learning

Multi-class text categorization using state-of-the-art pre-trained contextualized language models, e.g. BERT

FastText for Node.js

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

Use machine learning in AppInventor, with easy training using text, images, or numbers through the Machine Learning for Kids website.

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

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

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.

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

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

Library for fast text representation and extreme classification.

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

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

R wrapper for fastText

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

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

Target-dependent sentiment classification in news articles reporting on political events. Includes a high-quality data set of over 11k sentences and a state-of-the-art classification model.

The missing SVM-based text classification module implementing HanLP's interface

Text preprocessing, representation, similarity calculation, text search and classification. Let's go and play with text!

Programmatically find and read labels using Machine Learning

Open-source benchmark datasets and pretrained transformer models in the Filipino language.

A Python implementation of a binary text classifier using Doc2Vec and SVM

基於關聯式新聞提取方法之雙階段注意力機制模型用於股票預測

Text Similarity Applied to resume, to compare Resumes with Job Descriptions and create a score to rank them. Similar to an ATS.

A PyTorch-based toolkit for natural language processing

The goal of this project was to develop a Face Recognition application using a Local Binary Pattern approach and, using the same approach, develop a real time Face Recognition application.

Caver: a toolkit for multilabel text classification.

Repository containing code for the paper "Meta-Learning with Sparse Experience Replay for Lifelong Language Learning".

Vietnamese Text Classification

Sample code for training Word2Vec and FastText using wiki corpus and their pretrained word embedding..

Classify short texts with neural network.

OpenTC is a text classification engine using several algorithms in machine learning

Embedding模型代码和学习笔记总结

分别使用rnn/cnn/rcnn来实现根据患者描述，进行疾病诊断

This repo is a collection of AWESOME things about fake news detection, including papers, code, etc.

[ACM-WSDM] 3rd place solution at WSDM Cup 2019, Fake News Classification on Kaggle.

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

A ready to go text classification trainer based on synaptic (https://github.com/cazala/synaptic)

Multi class audio classification using Deep Learning (MLP, CNN): The objective of this project is to build a multi class classifier to identify sound of a bee, cricket or noise.

Minimally Supervised Categorization of Text with Metadata (SIGIR'20)

BERT, LDA, and TFIDF based keyword extraction in Python

Evidence-based Explanation Dataset (AACL-IJCNLP 2020)

DeepClassifier is aimed at building general text classification model library.It's easy and user-friendly to build any text classification task.

Active Learning for Text Classification in Python

Implementation of the paper "Hierarchical GRU for Utterance-level Emotion Recognition" in NAACL-2019.

Text Classification in Turkish Texts with Bert

Implementing nlp papers relevant to classification with PyTorch, gluonnlp

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

Persian sentiment analysis ( آناکاوی سهش های فارسی | تحلیل احساسات فارسی )

Summary of my projects on kaggle

Ten Thousand German News Articles Dataset for Topic Classification

Naive Bayes Classification used to classify movie reviews as positive or negative

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

[AAAI 2020] Modeling Personality with Attentive Networks and Contextual Embeddings

Movie review dataset Word2Vec & sentiment classification Zeppelin notebook

Building a model to recognize incentives for landscape restoration in environmental policies from Latin America, the US and India. Bringing NLP to the world of policy analysis through an extensible framework that includes scraping, preprocessing, active learning and text analysis pipelines.

Search the best feature subset for you classification mode

Building a text classifier with extremely small datasets