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According to the characteristics of the network public sentiment in Chinese colleges and universities, a clustering model of network public sentiment is proposed. This paper extracts the keywords from the network text based on suffix array algorithm, combines with the principle of locality and clustering of point position, and then analysis the text of public sentiment that could facilitate the management to understand the network public sentiment focus in the college and university students. Keywords-public sentiment; clustering model; suffix array; network

Research of Clustering Model of Network Public Sentiment based on Suffix Array