jon-chun

AI-LIT

AI-LIT: Using AI Embeddings to find what is Lost in Translation

cultural-analytics.github.io

Computational Cultural Analytics Course at Kenyon College

GenAI-Multi-Agent-Networks-and-Digital-Twins

Generative AI and Multi-Agent Networks for Creating Digital Twins (Kenyon College's Integrated Program for Humane Studies Program Fall 2024)

iiot-time-series-prediction-system

An End-to-End Industrial IoT Time Series Prediction System

langchain-experiments

Notebooks and code to test langchain

multisentimentarcs

A Novel Method to Visualize Multimodal AI Sentiment Arcs in Long-Form Narratives

network-notebooks

sentiment-analysis-reference-corpus-novels

Reference Corpus of Novels for Sentiment Analysis

sentimentarcs_notebooks

SentimentArcs: a large ensemble of dozens of sentiment analysis models to analyze emotion in text over time

jon-chun/bulbea

:boar: :bear: Deep Learning based Python Library for Stock Market Prediction and Modelling

jon-chun/citizen-quotes

A project to demonstrate maximum entropy models for extracting quotes from news articles in Python.

jon-chun/homersOdysseys

French translations of the Odyssey

jon-chun/IDS-566

Advanced Text Analytics for Business

jon-chun/InsideOut_Movie_Script_Text_Analytics

Text Analytics of Movie Scripts in Python

jon-chun/Interactive-Machine-Learning

Transparency of Decision tree,Logistic Regression and Bernoulli Naive Bayes

jon-chun/ITMViz

Interactive Topic Modeling for Source Code Analysis

jon-chun/Machine-Learning-Books-With-Python

Chapter by Chapter notes, exercises and code for a variety of machine learning books using Python

jon-chun/main

CS579: Online Social Network Analysis at the Illinois Institute of Technology

jon-chun/movieScriptAnalysis

Analysis of movie scripts, including network analysis, sentiment tracking, and auto-generated scripts

jon-chun/multidimensional-stance-lexicon

A Multidimensional Lexicon for Interpersonal Stancetaking

jon-chun/Predicting_Personality_Type

This project predicts Myers-Briggs personality types using natural language processing and classification modeling. Capstone project I completed as a student in the Data Science Immersive program at General Assembly

jon-chun/PrezCrunch

A simple py script to crunch some presidential debate data, produce some LIWC metrics

jon-chun/Project

Classifies articles into two categories: reliable (non bias political, credible) or unreliable.

jon-chun/ScreenPy

Automated Screenplay Annotation for Extracting Storytelling Knowledge

jon-chun/SMM1-Graph-and-Centrality-Measures

Implemented degree, closeness, betweenness and eigenvector centrality in python with and without Networkx Library. Created a network graph, with node size relative to the eigen vector centralities of the nodes. It uses Numpy, Matplotlib, Networkx and itertools libraries for fulfilling the requirements.

jon-chun/stock_market_lexicon

Stock Market Lexicon

jon-chun/text-analysis

jon-chun/topic_modelling_financial_news

Topic modelling on financial news with Natural Language Processing

jon-chun/wgcca

Python Implementation of Weighted Generalized Canonical Correlation Analysis

jon-chun/word_vectors_game_of_thrones-LIVE

This is the code for the "How to Make Word Vectors from Game of Thrones (LIVE) " Siraj Raval on Youtube