Web Text Feature Extraction with Bean optimization Algorithm

The Internet continues to grow at a phenomenal rate and the amount of information on the web is overwhelming. It provides us a great deal of information resource. Web text feature extraction is considered as the main problem in text mining. We use Vector Space Model (VSM) as the description of web text and present a novel feature extraction algorithm which is based on the improved Bean optimization Algorithm (BOA). This algorithm will greatly improve the efficiency of web texts processing.