An easy-to-use library to extract indices from texts.
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Updated
Sep 7, 2021 - Python
An easy-to-use library to extract indices from texts.
Minimal CLI launcher for Toontown MMORPGs
🧐 This project analyzes Amazon Fine Food Reviews to investigate whether negative reviews are more emotionally intense and lexically repetitive than positive ones. Using R, we apply sentiment analysis and lexical diversity metrics to uncover patterns in consumer review language.
Application to view Toontown Rewritten Information
👨🦰 Large Scale Active Social Engineering Defense (ASED): Multimedia and Social Engineering
Gag damage calculator for Toontown Rewritten
Tutorial for the “Skull Finder” game
A twitter bot made using Tweepy that reports on Toontown Rewritten's Population
Some useful scripts for speech and language research.
Generates optimal single-cog gag combinations given user constraints (back-end)
A Python package to make the creation of Cog actors easier!
A Python script for randomizing Toontown Rewritten sounds and generating a content pack to be used in the game.
Generates optimal single-cog gag combinations given user constraints (front-end)
trash boredom ideas for the socially insane. suggestions welcome
a simple overlay for streamers who play toontown rewritten
A patch of xlax, to provide compatibility for usage as a Toontown multicontroller on Linux.
🐍 Python implementations of common text metric algorithms
(OLD) Custom launcher that saves accounts for Toontown Rewritten.
Quita Mini is a text analysis tool designed to calculate various linguistic metrics from text data. It processes a collection of text files, computes statistics such as Type-Token Ratio (TTR), entropy, average token and type lengths, hapax legomena percentages, and more. The results are then saved in an Excel file for further analysis.
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