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

Highlight Stephen Chow's famous movies using bullet-screen comments, document vector and neural network.

A neural network that can do text classification using supervised learning

This is text analysis of ticket data in excel file

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 …

see the online web site

Tesseract OCR implementation in React JS

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

A tool that can be used in the CLI or NodeJS environment to scan for text in images. It is built with the Tesseract Engine so it is very efficient.

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

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.

Sentence splitter based on Google Natural Language API for tokenization

Django application of https://github.com/Tikquuss/eulascript, the Machine learning (ML) solution that review end-user license agreements (EULA) for terms and conditions that are unacceptable to the government

A collection of components to visually compare texts

Universal utility functions for both browser and node (like @lodash, but with more dashes). Mostly "pure" functions (sorting ones use [].sort()). Promises, filtering, sorting, combining, text analysis, math, curry, sleep, etc. See also platform specific functions @twodashes/node and @twodashes/browser.

Multilabel text classification using Hugging Face NLP model and Inference API

Labelling platform for text using weak supervision.

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