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.

😵‍💫 A Recurrent Neural Network (RNN) hallucinating solidity source code.

A trigram language model using NLTK to predict the next word of a phrase

🌄 Search images through text by writing a caption or a description. You will be intelligently assisted while typing.

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

This project implements Markov analysis for text prediction from a given text file. Utilizes urllib.request to read text file from project gutenberg.

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.

Repository with Deep Learning implementations in Jupyter Notebooks

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

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

Generate text in the style of Shakespearean English using Recurrent Neural Networks.

Naive Solution for Course 10 JHU Data Science Specialization

Implementing Hidden MarkovModel to generate new text and complete sentences

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

Text prediction and generation through LSTM Neural Network with Tensorflow. 3rd assignment of the Deep Learning Lab course at Università della Svizzera Italiana (USI) Lugano.

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

Text prediction in Java using a Markov Chain.

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