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Latent Metonymical Analysis and Indexing
(LMai)
Technology Description
This technology is a self learning algorithm
in the realm of Artificial Intelligence that extracts the
context or relationships between words automatically (without
any guidance given to the machine). LMai is a novel concept
of Advanced (Unsupervised) Machine Learning. It uses a mathematical
approach to identify the relationships between words in a
set of given documents (Unstructured Data). The algorithm
examines the natural documents provided to it, automatically
makes decisions on clustering related words together and performs
the classification. The algorithm does not require any prior
training, backed ontology's, or any human intervention during
the entire process. This significantly helps in data mining
and in building the semantic web.
Benefits
- LMai supports
incremental indexing of data and is not based on SVD.
- LMai uses a Topical approach during
decomposition which is more consistent and accurate.
- It has shown accuracy/consistency
of more than 90% after processing more than 2 Billion Words.
Contact details:
Information Manager
Email: timeis@ficci.com

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