Sentiment classification of network comments based on KSVM

A KSVM classification algorithm by combining the advantages of SVM algorithm and KNN algorithm in machine learning is proposed.Some with semantics tendency and combined the parts of speech is chosen as the characteristic items,and the proposed algorithm is applied in sentiment classification of network comments to judge one comment positive or negative.Experimental results showed that the proposed algorithm can classify some comments online with a higher accuracy.