A retrieval system backed by text classifier

Text classifier to classify app reviews on a scale of 1 to 5 using LSTM.

A Facebook chatbot that classifies texts using chat history

Learning NLP

Navie Bayes text classifier in Javascript

Implementation of Adversarial attack to generate adversarial samples of text that are misclassified by the LSTM based Classifier.

Predict product review helpfulness by applying machine learning methods to lexical, syntactic, structural, and contextual features.

Simple implementation of text classifier in Java with built in SVM, C4.5, kNN, and naive Bayesian classifiers. Support for common text preprocessors and for CVS format. You can plugin your own classifier, tokenizer, transformer, stopwords, synonyms, and TF-IDF formula etc. Supports automatic validation and confusion matrix.

Binary Classification Model for Identifying Suicidal Ideation

📈 Machine Learning Algorithms

Text Mining using 20 mini news groups

This repository contains Pattern Recognition and Machine Learning programs in the Python programming language.

Solution for the Quora Insincere Questions Classification Kaggle competition.

Analysis of the Amazon Customer Reviews Dataset.

Classifier for app reviews on a scale of 1 to 5 using Gated Recurrent Unit (GRU).

A query answering system built leveraging NLP technologies to be used in Robots that we develop or as standalone product.

Simplified and somewhat optimized version of the phonetic-languages-examples. Is intended to use more functionality of lists and subG package.

A basic text-processor and editor implemented in C99

This is a text classifier that works well for long text or article. It's a supervised learning with LSTM network, because you have to explain your topics before launching it.