Redundancy-Aware Topic Modeling
Copy Paste Redundancy or Data Duplication are prevalent in many corpora.This redundancy has a negative impact on the quality of text mining and topic modeling in particular. This is a software package of a novel variant of Latent Dirichlet Allocation (LDA)
topic modeling, Red-LDA, which takes into account the inherent redundancy of corpora when
modeling content.
My site: http://www.cs.bgu.ac.il/~cohenrap/
Lab site: http://www.cs.bgu.ac.il/~nlpproj/
Sister project: http://sourceforge.net/projects/corpusredundanc/
Follow RedLDA
Other Useful Business Software
Gen AI apps are built with MongoDB Atlas
MongoDB Atlas provides built-in vector search and a flexible document model so developers can build, scale, and run gen AI apps without stitching together multiple databases. From LLM integration to semantic search, Atlas simplifies your AI architecture—and it’s free to get started.
Rate This Project
Login To Rate This Project
User Reviews
Be the first to post a review of RedLDA!