Text Classification by Convolutional Neural Network in Keras
A trigram language model using NLTK to predict the next word of a phrase
This project implements Markov analysis for text prediction from a given text file. Utilizes urllib.request to read text file from project gutenberg.
GAE-Bag-of-Words (GAE-BoW) is an NLP-Machine Learning model helps students in finding their training and professional paths.
Completing sentences of a text using n-gram model from Natural Language Processing (NLP). Implemented from scratch.
PyTorch-based Hidden Markov Model for word modeling and intelligent Hangman solving, featuring partial Viterbi decoding, training tools, and an interactive game with an optional DQN agent for reinforcement-learning-based guessing. PESU Sem 5: Hackathon Project for Machine Learning
N-gram Word Predictor is a command-line tool that builds statistical language models from Wikipedia articles to predict the next word in a sequence.
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
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