There are 7 repositories under topic-modelling topic.
Interface for easier topic modelling.
Topic-Specific Diagnostics for LDA and CTM Topic Models
NLP Section of the Data Science course, NRU HSE
Small tutorial on how you can use BERT for Topic Modeling
Implementation and helper scripts for the BART-TL model - https://www.aclweb.org/anthology/2021.eacl-main.121/
A set of methods for finding an appropriate number of topics in a text collection
Multimodal and multilingual topic model with pretrained embeddings
Topic Modelling to segregate news report data to different topics using Gensim, NLTK, Spacy.
An automated topic modelling system that outputs into a Shiny App
A Machine Learning NLP project to extract research topics based on publication titles using KeyBERT unsupervised keyword extraction approach.
Multilingual topic labelling of news topics
I don't feel like reading this research paper that my professor has us doing so I made this summarizer using Latent Dirichlet Allocation
The project provides insights for business owners to improve their businesses and recommendations for users to improve their experience with the application
Analysis of social media conversations surrounding COVID-19 in Singapore
My published paper on the application of LDA on documents. Base corpus: Thousands of LDS General Conference articles spanning decades.
Topic modelling data collection and analysis with Python for LLaMA dataset
Code to train a LSI model using Pubmed OA medical documents and to use pre-trained Pubmed models on your own corpus for document similarity.
Brand Slogans - Analysis of Slogans, Logos and Gender of CEOs in Brands and Companies
retrieval-augmented generation with web scraping
In this module you will learn how to analyze topic modeling output from Amazon Comprehend, then perform topic modeling on two documents with a known topic structure.
This app has been created by a group of students as part of a course in the Data Science Master’s Program at the University of Helsinki. The app was created for, and in collaboration with, the Research Unit for the Study of Variation, Contacts, and Change in English (VARIENG). It allows for the exploration of a corpus of historical letters.
Scrape Reviews about Amazon Shopping App on Google CH Play and Perform Topic Modelling by LDA (Latent Dirichlet Allocation) using Python
Generic fake news detector across news domains, using feature engineering. Fully implemented POS tagging, sentiment analysis, emotion detection, topic modelling and named entity recognition.
A Blog application with features such as generating relevant tags and keywords from blogs in order to generate recommendations for users. Application made using Django. Joint Project by Swebert Correa and Jinit Sanghvi.
Analysis of Google PlayStore reviews for “League of Legends: Wild Rift” and “Mobile Legends: Bang Bang”
A Data Analysis Project on the Tunisian and Egyptian Springs
Topic Modelling & Sentiment Analysis of Data Science Subreddit
A sentiment analysis project using Twitter tweet data aimed at analysing the sentiment towards Ukrainian and Syrian refugees.
Investigating biases in scientific publications
Python, NLP, TF-IDF, LDA, Text Analytics