Custom word embeddings created from latent features generated by gensim and hugging face models

Topic modeling for NYT articles.

Creating a semantic search engine by making use of genism-topic modelling and flask framework

This project is an unsupervised NLP-based recipe recommender system designed to provide personalized recipe suggestions. The system employs content-based filtering techniques, utilizing cosine similarity to measure the resemblance between user inputs and a database of recipes.

Analysis of social media conversations surrounding COVID-19 in Singapore

Food Finder: An interface for a multi-user recommendation system.

This repository contains various small Natural Language Processing based projects including text summarization using Spacy and N-grams, along with word predictions.

A Project on Topic Modeling using alogoriths like LSA/LSI, LDA, NMF on RACE dataset

Stylometry approach detecting writing patterns and changings using NLTK, XML-roBERTa, Gensim topic modelling and unsupervised-PCA learning

[University_SWContest2021] Social-media 기반의 텍스트 마이닝

기관 협업 공동 연구(23.08~12) - 한국기초과학지원연구원(Korea Basic Science Institute)

This is a Jupyter Notebook where I compared lyrics of two of my favorite music artists using a machine learning library in Python called scikit-learn and some NLP techniques.

News article classifier trained using a training set of FOX and CNN political articles.

2023년 11월 대한산업공학회(UNIST) - Developing data-driven QFD: A systematic approach to employing text information using product manuals, 2저자

2023년 7월 논문게재(한국벤처창업연구) : COVID-19에 따른 글로벌 창업 트렌드 분석: Cruchbase를 중심으로(Analysis of Global Entrepreneurship Trends Due to COVID-19: Focusing on Crunchbase, 1저자

In this project, I explore a TripAdvisor hotel review dataset with the LDA algorithm, Rapid Keyword Extraktion (RAKE)

Web scraping to gain company insights. Scraping and analysing customer review data to uncover findings for British Airways

NLP experiments on web rock-based news articles using Python