Short Text Categorization
Zhihao Zhang · Microcomputer applications · 2007
On the basis of the application of automatism in comparison shopping,this paper probes into the issue of text catego- rization.It has compared two popular algorithms for text categorization:Naive Bayes(NB)and k-Nearest Neighbor(k-NN). On this basis,it proposes another suggestion combiningthese two algorithms.In the situation that NB is unauthentic,K-NN arithmetic is suggested to be used to recategorize the results.And the k-NN algorithm can also make the best use of the results from NB algorithm during the process of recategorization.The statistics from the experiments show that under similar time com- plexity,the new algorithm can markedly improve the precision of the text categorization and the recall rate.It can reach the ex- pected demand.