Labelling platform for text using weak supervision.

FastText for Node.js

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

NLP Cloud serves high performance pre-trained or custom models for NER, sentiment-analysis, classification, summarization, paraphrasing, intent classification, product description and ad generation, chatbot, grammar and spelling correction, keywords and keyphrases extraction, text generation, image generation, code generation, and much more...

Interface for making NLP annotations.

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

Naive Bayes Text Classifier

A small, no dependencies, Naive Bayes Text Classifier for JavaScript

The Internet plays an increasingly important part in our daily lives as a source of written content for news and leisure. Yet it is tedious and difficult to sort through this staggering flow of information and stay updated with changes in our world, even using automated tools. Reading magazines and newspapers is too time-consuming, and there is …

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

Tesseract OCR implementation in React JS

Use ReactJS and TensorFlow to suggest icons based on text in a ToDo list app

The easiest way to detect and classify Russian texts by word sequence and direction. Without ML.

Using Machine Learning to detect irrelevant and inappropriate text, entirely in the browser.

Yeezy Taught Me Text Generation. Training next character predictions RNN LSTM model with user input text corpus

split lower case twitter hash tags by word entropy 🤯

Sentiment Analysis of Twitter Data Using Logistic Regression

Finto AI suggests subjects for a given text. It's based on Annif, a tool for automated subject indexing.

Kin-TXT is a powerful platform for aggregating, analyzing and visualizing text data from social media.

Web tool that allows the identification and labeling of entities of different topics from text, this with the purpose of being taken as a basis for the training of Machine Learning algorithms.