Short Text Frequent Pattern Clustering Algorithm for Public Opinion Analysis

The analysis of public opinion based on short text is the focus of the field of information mining and sensation analysis.Different from the traditional classification method based on words,a clustering algorithm,which based on suffix arrays is proposed.By removeing repetitive string accurately,meaningful strings are obtained after the clustering analysis of repeat string alterations in accordance with the principle of position.Public opinion toward these meaningful strings are analyzed and the dynamic emotional direction and social public opinion of network groups are discovered.