SYSTEM AND METHOD FOR AGGREGATING AND SUMMARIZING PRODUCT/TOPIC SENTIMENT

SYSTEM AND METHOD FOR AGGREGATING AND SUMMARIZING PRODUCT/TOPIC SENTIMENT

Documents are collected from a variety of publicly available sources that contain product data including product reviews, product specifications, price information and the like. Snippets of text obtained from the documents are analyzed for relevance, sentiment, credibility and other aspects that hel...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Hauptverfasser: CHANDRAN RAJESH, SHILMAN MICHAEL
Format: Patent
Sprache:eng
Schlagworte:
CALCULATING
COMPUTING
COUNTING
DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES
ELECTRIC DIGITAL DATA PROCESSING
PHYSICS
SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR
Online-Zugang:Volltext bestellen
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung:Documents are collected from a variety of publicly available sources that contain product data including product reviews, product specifications, price information and the like. Snippets of text obtained from the documents are analyzed for relevance, sentiment, credibility and other aspects that help evaluate the quality of a product. Feature vectors are computed for snippets to analyze relevance, sentiment, or credibility. Statistical analysis is performed on the feature vectors to estimate a measure of the relevance, sentiment, or credibility. Factors associated with various snippets are aggregated to compute a quality score for a product or a particular aspect of product including product features, attributes, usages, or user personas. Information is displayed on a user interface that allows the user to examine the details relevant to computation of the quality score.