Web opinion mining based on sentiment phrase classification vector

Opinion mining is an important research area of web data mining. As it is related to natural language process and data mining, opinion mining is very challenging. This paper presents a web opining mining algorithm based on sentiment phrase classification vector. By the techniques of sentiment phrase classification, the algorithm compares the similarity between document vectors, mines the theme of the document and judges the document theme attributes. The experimental results show that the algorithm has better effectiveness and practicality.