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quality of information retrieval. The contributions of our research are twofold. First, the existing ranking algorithms of search engine are classified. And we extend expression of queries by “keyword and ”, instead of keywords only. Second, a new ranking algorithm based on user feedback and semantic tags is
Collection and analysis of information about network public opinion has currently become an effective means to get people thinking and recommendations by the government departments. In this paper, we presents a method of BBS(Bulletin Board System) hot topic analysis based on multiple keywords combination, this method
relevant and desired answer. Even though an image would represent a set of Thousands of keywords and phrases it give rise to image ambiguity just Word Sense Disamguity (WSD). It's very challenging to map user keyword query to retrieve image as answer, as relevance depends on user perception and intent. Web-Image search
processes:- classification and tag selection. The classification process involves automatic keyword extraction using Rapid Automatic Keyword Extraction (RAKE) algorithm which uses the keyword — score matrix. The generated top scored keywords are added to the train dataset dynamically, which can be used further. This add
In this paper, we propose a novel multi-label image annotation for image retrieval based on annotated keywords. For multi-label image annotation, a bi-coded genetic algorithm is employed to select optimal feature subsets and corresponding optimal weights for every one vs. one SVM classifiers. After an unlabelled image
In this paper we propose an approach for Chinese question analysis and answer extraction. A general question analysis process contains keyword extraction and question classification. Question classification plays a crucial role in automatic question answering. To implement the question classification, we have carried
As the number of web services is increasing, finding the best service according to the users' requirements becomes a challenging task. Traditional method of web services discovery is based on keyword match. Due to this, many web services which are most relevant to the user request are left undiscoverable. Some other
This article proposes such a question classification approach that integrates multiple semantic features. It is aimed at these two questions in Chinese question classification models: inaccurate semantic information extraction and too slow processing speed caused by too high Eigenvector dimension. With the help of HowNet and the support vector machine and syntactic and semantic information of question...
Current classification techniques use word matching and clustering techniques to classify webpages. These techniques use ad hoc approach of checking and matching the entire keywords in a webpage for classification. These methods are efficient but not without problems. In general, they suffer from the following
To perform a semantic search on a large dataset of images, we need to be able to transform the visual content of images (colors, textures, shapes) into semantic information. This transformation, called image annotation, assigns a caption or keywords to the visual content in a digital image. In this paper we try to
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