OCTIS: Comparing Topic Models is Simple! A python package to optimize and evaluate topic models (accepted at EACL2021 demo track)
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Updated
Jun 6, 2024 - Python
OCTIS: Comparing Topic Models is Simple! A python package to optimize and evaluate topic models (accepted at EACL2021 demo track)
Unsupervised Deep Learning Models Implementation.
Generate word-word similarities from Gensim's latent semantic indexing (Python)
Twitter bot that uses an improved word frequency algorithm based on gradient heuristics for extractive summarization
In-memory index-structures for efficient retrieval of multimedia documents based on input queries.
eea.similarity
Scrape news articles and summarize them using NLP
This repository provides an implementation of topic modelling techniques, namely Latent Semantic Analysis (LSA) and Latent Dirichlet Allocation (LDA), specifically designed for analyzing news articles.
Obtain the latent variables that contain the maximal mutual information.
Full-text document search engine with latent semantic analysis.
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.
Information retrieval and text mining using SVD in LSI. SVD has been implemented completely from scratch.
ICCV23 "Householder Projector for Unsupervised Latent Semantics Discovery"
Extreme Extractive Text Summarization and Topic Modeling (using LSA and LDA techniques) over Reddit Posts from TLDRHQ dataset.
Vector space modeling of MovieLens & IMDB movie data
Final project for the course "EE4037 Introduction to Digital Speech Processing" 2020 fall.
Implementation of various Extractive Text Summarization algorithms.
Comparison of several dimension reduction methods aiming at the extraction of latent semantic information
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