First Proper (formal) piece of Java software I created. It focuses on 5 different techniques of scoring documents based on queries. It also includes the code I used on AWS for a bigram model and predictions.

This project leverages the NLTK library and the Reuters corpus to build a next-word prediction model using bigrams and conditional frequency distributions.

Assignments of the course CSE 556 - Natural Language Processing

Advance information retrieval system that combines advanced indexing, machine learning, and personalized search to enhance academic research and document discovery.

Word Sequence probability estimation using Bigram model

COMP472 AI MINI PROJECT 3

Predicting Amazon ratings based on reviews by Text Classification using the Naive Bayes Algorithm.

We designed an Information Retrieval system based on Vector Space model in python. We Also have implemented Bi gram Indices for Phrasal query search and Champion List retrieval. We also compared time of whole retrieving in our project report.

Bigram Language Model

Mainly from Speech and Language Processing, Daniel Jurafsky & James H. Martin; Codes are self-developed (of course it is simple without defense); Learn with some fun

This project is meant to generate a Local Language Model based on textual input.

This repository contains Natural Language Processing programs in the Python programming language.

Named Entity Recognition

Using NLP and ML algorithm to predict the Airline Twitter Sentiment

Artificial Intelligence story maker using methods such as the markov chain, bigram & trigram models.

Accurately identify written English, French or Italian text with up to 99% accuracy.

Determine if a sentence is English, French or Italian.