Classification and clustering in dataset of news articles.

2021 홍익대학교 산업공학과 졸업 프로젝트

A machine learning system that takes a comment and classifies it as offensive or non-offensive (neutral). This system will be trained in a data set with comments in which the tags (insult or non-insult) are known. Classification algorithms used: Naive Bayes, SVM, Random Forest.

Functional bow with procedural string for Unity.

Simple provisioning with rake tasks

Python for Data science #sentiment analyse using tensorflow#CNN#NLP#BOW

benchmark different techniques of text classification in order to predict of Amazon review polarity

Using NLP and a smart chatbot, this project gauges customer sentiments online, offering customization and real-time feedback. Employing TF-BOW-LDA and ML models, it empowers e-commerce decisions, culminating in an NLP course at uOttawa in 2023.

Pair a smartphone to a bow

Bow bundle of Klipper

Practical works for natural language processing course at university.

Text Classification that works on identifying different authors writing styles in Gutenberg Digital Books | NLP.

The Bow Framework WebSite

Sample Mobile Validation using Bow (updated to 0.6.0 with SwiftUI)

Build a simple search engine based on TF-IDF using python

Image Classificaition

Get the quick rundown in one command.