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.
$ git clone https://github.com/giacbrd/ShallowLearn.gitStarter 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 text analysis application for performing common NLP tasks through a web dashboard interface and an API
Text Classification through CNN, RNN & HAN using Keras
:notebook: Long(er) text representation and classification using Doc2Vec embeddings
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.
Data from GitHub · snapshot Sep 24, 2026