Recently, a great deal of attention has been focusing on processing keyword search over XML and XML streams. The keyword search is simple and provides a user-friendly way of retrieving required data from an XML data. Though its popularity, there is a concern over its efficiency. For this reason, several methods have been proposed to enable keyword search over XML streams. However, most of them ...

Abstract The traditional keyword extraction method has the problem that accuracy of identification and decreases when amount data is increasing. This paper introduces natural language processing technology designs a for machine reading comprehension. In this process, considering information in text comprehension may come from web page, we can refer to NLP system algorithm. Firstly, analyze cont...


 Abstract
 An innovative method of accessing connected data sources on the internet is keyword search. We propose to route keywords only relevant in order reduce substantial processing cost search queries throughout all providers. a novel for computing top-k routing plans by considering their propensity contain responses specific query. use summary links between components referencin...

in this paper we have proposed an approach for emotion detection in implicit texts. we have introduced a combinational system based on three subsystems. each one analyzes input data from a different aspect and produces an emotion label as output. the first subsystem is a machine learning method. the second one is a statistical approach based on vector space model (vsm) and the last one is a key...

Low students’ learning outcomes and retention are among the problems in learning. An innovation process is thus needed to solve problems. The effect of Preview, Question, Read, Reflect, Recite, Review Read (PQ4R) model integrated with a mnemonic-based module one useful alternatives overcome This study aims address question on how integration between PQ4R affects retention. used an experimental ...