Titlebook: Knowledge Science, Engineering and Management; 9th International Co Franz Lehner,Nora Fteimi Conference proceedings 2016 Springer Internati

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Identifying Helpful Online Reviews with Word Embedding Featuresnced by online reviews. Predicting the helpfulness of reviews can help to save time and find helpful suggestions. However, most of previous works focused on exploring new features with external data source, such as user’s profile, semantic dictionaries, etc. In this paper, we maintain that the helpf

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Quantitative Analysis Academic Evaluation Based on Attenuation-Mechanismrequired. With the development of social networks, it is natural to ask the question: is there any trustworthy model which is able to provide quantitatively analysis of the academic impact with a huge amount of relevant information instead of peer-review only before the prevalence of social media? M