Using latent Dirichlet allocation (LDA) in Apache Lucene
-
Updated
Nov 19, 2012 - C++
Using latent Dirichlet allocation (LDA) in Apache Lucene
Code to run LDA algorithm on Twitter/Foursquare scraped data.
Categorizing pokemons using LDA
REST web service to compute and query Latent Dirichlet Allocation models
My Capstone Project from GA Sydney
Collection of NLP utility code
Data repository for pretrained NLP models and NLP corpora.
😅 A topic model of reddit.com/r/EmojiPasta trained with Spark and an LDA model (NSFW) - Trigger Warning: The r/emojipasta subreddit posts controversial content and anything I have crawled is to provide visibility of a topic modeling some of this controversial content. Unfortunately there is also discriminatory speech which must be called out!
Keyword Extraction for PDFs
Use Word2vec model and LDA model for drug recommendation
This is a project for the course Cognitive Computational Modeling of Language and Web Interaction from the Radboud University (Nijmegen). The goal of this project was to reproduce the work by Hendrickx et al. (2016) but give it our own twist. We were mostly interested in trying to predict the score for a specific wine given an expert's review.
A consolidated collection of topic model implementations
Predict shop categories by Topic modeling with latent Dirichlet allocation and gensim
Add a description, image, and links to the lda-model topic page so that developers can more easily learn about it.
To associate your repository with the lda-model topic, visit your repo's landing page and select "manage topics."