System, method and computer program product for analyzing e-commerce competition of an entity by utilizing predetermined entity-specific metrics and analyzed statistics from web pages
A system, method and computer program product for analyzing e-commerce competition is disclosed. The method involves collecting pages that are commonly transmitted over a computer network (e.g., the Internet, an institutional intranet, etc.), collecting external data, which may or may not be available on the computer network, processing the collected pages and content, and scoring the pages based on all the information collected to determine statistics. The statistics are analyzed for providing benchmarks that compare an entity's presence on the computer network and compares it to the presence of other entities.
An evaluation apparatus learns the correspondence between domains and evaluation items from a Web page group in Internet, generates an evaluation set group, and generates a specified domain evaluation set by extracting evaluation items corresponding to the specified domain from the evaluation set group. Then, it evaluates a Web page to be evaluated based on the specified domain evaluation set.
The system and method for correlating, predicting and diagnosing system component performance data includes capturing knowledge about system behavior, deploying the captured knowledge as baseline system behavior files, evaluating system performance data against the baseline system behavior files, performing predictive and diagnostic analysis when received system performance data exceeds thresholds in the baseline system behavior files, and notifying a user when an analysis result is generated. The method of capturing knowledge about system behavior includes defining problems to be solved, creating datasets that correspond to defined problems, constructing problem scenarios, associating data patterns modules with the problem scenarios, and generating XML definition files that characterize system behavior in terms of the scenarios, modules, and datasets. The system has the capability to activate corrective scripts in the target system and to reconfigure the target system.
The present application presents methods for performing topical sentiment analysis on electronically stored communications employing fusion of polarity and topicality. The present application also provides methods for utilizing shallow NLP techniques to determine the polarity of an expression. The present application also provides a method for tuning a domain-specific polarity lexicon for use in the polarity determination. The present application also provides methods for computing a numeric metric of the aggregate opinion about some topic expressed in a set of expressions.
