METHOD OF ANALYZING UNSTRUCTURED DOCUMENTS TO PREDICT ASSET VALUE PERFORMANCE
First Claim
1. A method for predicting asset value performance by analyzing a plurality of unstructured documents to identify documents having a high relevancy to a user based query, the method comprising the steps of:
- obtaining a user based query;
searching said plurality of unstructured documents via said user based query by degree-of-separation search to calculate a betweenness value for each document containing the query term;
calculating a term weight for the search term in each said document;
calculating a sentiment factor for the documents within said group of documents; and
calculating a combined prediction factor based on betweeness value, term weight, and sentiment factor.
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Abstract
A method and system is disclosed for determining the changes in valuation of an asset of interest and then using high or low betweeness centrality values as an indicator for near term future changes in asset value. The present invention searches a broad set of electronically based documents, such as Web pages, blog entries, and online forum posts that are relevant to the asset of interest, in a manner that identifies the interlinking characteristics between the documents. It also weights query terms (=asset of interest) by information retrieval metrics, and calculates the sentiment of their context.
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Citations
10 Claims
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1. A method for predicting asset value performance by analyzing a plurality of unstructured documents to identify documents having a high relevancy to a user based query, the method comprising the steps of:
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obtaining a user based query; searching said plurality of unstructured documents via said user based query by degree-of-separation search to calculate a betweenness value for each document containing the query term; calculating a term weight for the search term in each said document; calculating a sentiment factor for the documents within said group of documents; and calculating a combined prediction factor based on betweeness value, term weight, and sentiment factor. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10)
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Specification