Analysis of social media conversations surrounding COVID-19 in Singapore
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Updated
Jun 3, 2020 - Jupyter Notebook
Analysis of social media conversations surrounding COVID-19 in Singapore
Custom word embeddings created from latent features generated by gensim and hugging face models
This repository contains various small Natural Language Processing based projects including text summarization using Spacy and N-grams, along with word predictions.
Its Python based Topic Modelling project which identifies hidden topics from the given data using LDA(Latent Dirichlet Allocation)
A Visual Narrative of Ramayana using Extractive Summarisation, Topic Modeling and NER tagging
In this project, I explore a TripAdvisor hotel review dataset with the LDA algorithm, Rapid Keyword Extraktion (RAKE)
Creating a semantic search engine by making use of genism-topic modelling and flask framework
NLP experiments on web rock-based news articles using Python
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
Выполняется тематическое моделирование для отзывов о работе банка с подробным анализом полученных тем
[University_SWContest2021] Social-media 기반의 텍스트 마이닝
Weibo topic modeling and sentiment analysis.
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
Web scraping to gain company insights. Scraping and analysing customer review data to uncover findings for British Airways
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