Computer based system and method of determining a satisfaction index of a text
AssigneeAccenture Global Services Limited
InventorsNeill Cameron, Ramon Aragues, Michael Baumhackl
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AssigneeAccenture Global Services Limited
InventorsNeill Cameron, Ramon Aragues, Michael Baumhackl
Estimating the term…
The invention relates to a computer based method and system for automatically determining in a document an object satisfaction score (44), choosing at least one of either a positive score or a negative score, comprising the steps of: subdividing the document into windows of words; selecting one of said windows when it contains at least one descriptive property corresponding to a key subject of said object and/or when it does not contain any descriptive property corresponding to an anti-key subject of said object; processing each selected window to determine a positive or negative score of said window by counting the occurrences of positive and negative concepts; and cumulating the scores of the selected windows to obtain said object satisfaction score for the document.
A computer based method for automatically determining in a document an object satisfaction score (44), choosing at least one of either a positive score or a negative score, of an object such as a product, service, brand, event or similar, comprising the steps of:
A computer based system for automatically determining an object satisfaction index for an object such as a product, service, brand, event or similar comprising:
Dependencies are inferred from the claim text.
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Handling natural language data: semantic analysis
Recognition of textual entities: phrasal analysis, e.g. finite state techniques or chunking
Commerce: marketing; Price estimation or determination; Fundraising
Computing and data processing
Term end not estimated
The present invention relates to computer based systems and methods of selecting and analyzing candidate documents containing specific contents or subject matter. More precisely, the invention relates to an automatic system for and method of processing documents to evaluate the global opinion or satisfaction about an object such as a product, a service, a brand, an event or similar. For example, the documents which are found in the World Wide Web.
A technical problem exists in evaluating apparent trends in the perception of people regarding products, services, brands, events, etc., in a global community, where many, if not most of, such opinions are found in documents and files available on the Word Wide Web.
There is a need for an automated, computationally efficient, method and system for analyzing this plethora of documents and files, and to efficiently generate information which would indicate perceptions (positive or negative) of people regarding such products and services, by goegraphical or by another similar segmented manner.
These purposes, features and advantages of preferred, non-limiting, embodiments of the present invention will be described by way of examples with reference to the accompanying drawings, in which:
FIG. 1 schematically represents the main elements of one exemplary embodiment of the system according the present invention;
FIG. 2 schematically represents the main data base tables of the system according to one exemplary embodiment of the present invention;
For clarity, only those elements and steps useful to the understanding of the invention have been shown in the drawings. Especially, details of the programming steps according to the system of the invention will not be detailed as it will readily occur to those skilled in the art.
In the present specification:
“Subjects” means words or groups of words constituting descriptive properties of the object to be analyzed, i.e. able to select (and differentiate) the concerned object from the others; for example, applied to a product, the subjects may comprise the trade name of the product (eventually associated with the name of the manufacturer for a generic name) and its abbreviations if any, and the trade name of the manufacturer or seller and its trademarks or abbreviations if any; according to the present invention, the subjects are classified into “key subjects” and “anti-key subjects”, that is subjects identifying positively the object for which one should evaluate a satisfaction index and subjects which should be excluded for further evaluation; and