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Automatic key phrase extraction is the task of automatically selecting a set of phrases that describe the content of a simple sentence. That a key phrase is extracted means that it is present verbatim in the sentence to which it is assigned. Accurate key phrase extraction is fundamental to the success of many recent digital library applications, clustering, and semantic information retrieval techniques...
Text is an important modality for human-computer interaction, so studying the relationship between natural language and affective information as well as assessing the underpinned affective qualities of natural language has been the focus of research community. Several approaches have been performed to sense affect from English text, but the study on Chinese text emotion detection is still at the beginning...
Feature subset selection (FSS) is an important step for effective text classification systems. In this work, we have implemented a support vector machine (SVM) text classifier for Arabic articles. Moreover, we have implemented a novel FSS method based on Ant Colony Optimization (ACO) and Chi-square statistic. The proposed ACO-Based FSS method adapted Chi-square statistic as heuristic information and...
Research work related to plagiarism detection methods in dealing with monolingual texts (e.g. English texts) have been well established in recent years. However, little attention has been paid to facilitate plagiarism detection in cross-lingual text collections (e.g. English and Chinese texts). In this paper we present a system platform to evaluating text similarity and relatedness in multilingual...
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