Custom word embeddings created from latent features generated by gensim and hugging face models
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Updated
Jul 20, 2020 - Jupyter Notebook
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
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.
Stylometry approach detecting writing patterns and changings using NLTK, XML-roBERTa, Gensim topic modelling and unsupervised-PCA learning
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
News article classifier trained using a training set of FOX and CNN political articles.
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.
A Project on Topic Modeling using alogoriths like LSA/LSI, LDA, NMF on RACE dataset
Web scraping to gain company insights. Scraping and analysing customer review data to uncover findings for British Airways
In this project, I explore a TripAdvisor hotel review dataset with the LDA algorithm, Rapid Keyword Extraktion (RAKE)
기관 협업 공동 연구(23.08~12) - 한국기초과학지원연구원(Korea Basic Science Institute)
[University_SWContest2021] Social-media 기반의 텍스트 마이닝
NLP experiments on web rock-based news articles using Python
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