Text Classification by Convolutional Neural Network in Keras

Explaining textual analysis tools in Python. Including Preprocessing, Skip Gram (word2vec), and Topic Modelling.

Typing Assistant provides the ability to autocomplete words and suggests predictions for the next word. This makes typing faster, more intelligent and reduces effort.

Creation of a text prediction algorithm and web application using newspaper extracts from SwiftKey and n-grams from COCA.

GAE-Bag-of-Words (GAE-BoW) is an NLP-Machine Learning model helps students in finding their training and professional paths.

A quick start Vue project that helps you to create an AutoComplete component of Syncfusion using Vue CLI. You will also learn how to populate JSON data and remote data sources to the AutoComplete, how to highlight the searched text, and how to set a custom height and width to the AutoComplete popup.

An easy text prediction package that doesn't use a complicated neural network.

Simple text prediction app for JHSPH Data Science specialization on Coursera

A simple Shiny app for text prediction

Text prediction in Java using a Markov Chain.

A simple Swift implementation of word suggestion using n-gram probabilistic model

sequence prediction using LSTM

This is a markov chain implementation that does not generates text on random. It finds the most likely path after creating a tree from subgraph of the entire fully connected graph

Data Science Capstone by Johns Hopkins University: Predictive Text Model

Natural Language Processing - Course Project for the Coursera/John Hopkins Data Science Specialization Capstone course.

Finite Context Model text generator based in F.C Shannon paper

Outputs predicted text from training text file

This repository contains demonstration of NLP project using tensorflow and python

Third assignment for Deep Learning LAB course @ USI 19/20.

Text generator based on characters, words (neural networks) and markov chain. My engineer thesis.