SenseClusters is a software that uses natural language processing to cluster similar contexts or identify clusters. It is a powerful tool for quickly and efficiently organizing information in large data sets.
What sets SenseClusters apart from other text analysis software is its ability to autonomously determine the optimal number of clusters in your raw text data. This seamless feature streamlines the process from text preprocessing to outputting clustered results, making it a complete solution for text analysis needs.
Notably, the latest release of SenseClusters introduces full support for Latent Semantic Analysis. Both words and contexts can now be clustered using native SenseCluster methods or Latent Semantic Analysis. These additions expand SenseClusters' capabilities and make it an even more powerful tool for clustering and analyzing text data.
Version 0.95: N/A