Research On The Technology And Application Of Automatic Text Summarization

As accessible online textual data and information continuously exponentially proliferates on Internet, the traditional processing and management techniques on text data can not satisfy the various demands of users any longer. In demand of an efficient approach for searching the useful information, research and application of automatic summarization has revived these years. Based on the requirements of theory research and real-world application, this paper studies on summarization systemically. First we overview automatic summarization technologies, and then we put forward a new web page summary algorithm based on page segmentation. Next we use web summarization methods to extract most relevant features from web pages to improve the accuracy of web classification. And lastly we introduce our automatic summary module, one of three modules in our web mining system- WEBME, in detail.