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Music industry is one of the traditional industries that is deeply influenced by the new computing strategy for big data. This paper aims to discuss a new solution for the digital music dissemination in big data era. By analyzing the features of big data, the key points of digital music dissemination and the participants in this industry, we put forward a dissemination model for digital music and...
One key step in text mining is the categorization of texts, i.e., to put texts of the same or similar contents into one group so as to distinguish texts of different contents. However, traditional word-frequency-based statistical approaches, such as VSM model, failed to reflect the complicated meaning in texts. This paper ushers in domain ontology and constructs new conceptual vector space model in...
Traditional vector-space-based text-classification models are established by calculating the weights of feature words on the lexical level. In such models, words are independent on one another and their semantic relations are unrevealed. This paper proposes a vector-space-based text analyzer by introducing conceptual semantic similarity into traditional vector-space-based models. Naive Bayes classification...
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