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In order to over the shortcoming of the incomprehensive of summarization, a new lexical-chain-based keywords extraction and automatic summarization algorithm from Chinese texts based on the unknown word recognition using co-occurrence of neighbor words is proposed in this paper, and an algorithm for constructing
of text summarization is accurate identification of keywords from the given textual content. In this paper, the relative performance of three popular algorithms, namely TextRank, LexRank and Latent Semantic Analysis for keyword extraction were investigated by measuring their effectiveness in identifying keywords from
In a time when volatile data is in constant growth, the importance of keyword extraction becomes particularly evident. Keywords can quickly identify, structure and reveal potentially worthwhile information. The quality of automatically extracted keywords reflects the individual characteristics of the various retrieval
Nowadays, web has become widespread in terms of availability of contents related to every field. Also a large repository of web contents is turned up as a most challenging tool for searching and retrieving information. For scientists and researchers, resource or content searching has been very important. Todays, market is full of variant search tools over web having discrepancy in terms of working...
proposed a collective collaborative tagging (CCT) service architecture in which both service providers and individual users can merge folksonomy data (in the form of keyword tags) stored in different sources to build a larger, unified repository. We have also examined a range of algorithms that can be applied to different
were used as case studies. The textual contents of the marking schemes were transcripted into electronic documents using same file format as the students' answers. The documents were pre-processed for stopwords removal and each keyword stemmed to address morphological variations. N-gram terms (N=2, 3) were then
Traditional behavior analysis based on the keywords or server log is so simple that it is difficult to meet the individual requirements of the user information search. This paper introduces the Multi-agent intelligent technology into four kinds of search behavior analysis, including the user search keywords, the
base stations to determine the location of the mobile. The holder's trajectory can get through the statistics of large-scale location about anonymous user. Even in the special position the mall can push information keywords and make the service management more intelligent. When mobile phones become an indispensable things
It is well known that the key issue of online marketing is to accurately find the target user groups for the corresponding advertisements. Traditionally, the advertising products target user groups based on search keywords (e.g. AdWords), page visiting (e.g. AdSense), and etc. In this work, we explore a new targeting
Automatic image annotation is the process of assigning relevant keywords to the images. It is considered to be potential research area in current scenario. Annotation to an image can be defined as the information which could describe an image by considering three ways i.e. when these images were taken, what are the
is considered as more interesting and useful. Most of recent search engines are designed based on only measuring the similarity between keywords and articles. However, the social relations between authors of articles and searcher have not been taken into account in recent research. Therefore, in order to improve the
Through the analysis of the information on the contents of the document which contained in title, abstract and keywords, find out which documents are more relativity with user's retrieval expectation, this paper adopted "document retrieval expected value" as be the indicator, builds the mathematical model for it, and
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