topic-modelling

Leveraging BERT and c-TF-IDF to create easily interpretable topics.

Top2Vec learns jointly embedded topic, document and word vectors.

Interface for easier topic modelling.

GPU-Powered Topic Modelling

Topic-Specific Diagnostics for LDA and CTM Topic Models

A set of methods for finding an appropriate number of topics in a text collection

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/

Multimodal and multilingual topic model with pretrained embeddings

The project provides insights for business owners to improve their businesses and recommendations for users to improve their experience with the application

Topic Modelling to segregate news report data to different topics using Gensim, NLTK, Spacy.

A Machine Learning NLP project to extract research topics based on publication titles using KeyBERT unsupervised keyword extraction approach.

Analysis of social media conversations surrounding COVID-19 in Singapore

I don't feel like reading this research paper that my professor has us doing so I made this summarizer using Latent Dirichlet Allocation

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.

Ignis: Iterative Topic Modelling Platform

Generic fake news detector across news domains, using feature engineering. Fully implemented POS tagging, sentiment analysis, emotion detection, topic modelling and named entity recognition.

Investigating biases in scientific publications

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.

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.