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
Build Securely on AWS with Proven Frameworks
Moving to the cloud brings new challenges. How can you manage a larger attack surface while ensuring great network performance? Turn to Fortinet’s Tested Reference Architectures, blueprints for designing and securing cloud environments built by cybersecurity experts. Learn more and explore use cases in this white paper.
Rate This Project
Login To Rate This Project
User Reviews
Be the first to post a review of RedLDA!