Research on textual case similarity algorithm
Wenming Zhang · Journal of Northwest University · 2010
Aim The traditional algorithm based on vector space model actually neglects the word order and structure in sentences,which will affect the accuracy of similarity computing.So this paper proposed a new textual case similarity algorithm.Methods The sentence,rather than the word,was used as the unit and the word order information was considered,sentence vector space model was proposed,which is the base of textual case similarity algorithm.Results The method is more consistent with the mode of human understanding and improves the accuracy of textual case similarity compatation.Conclusion The application in textual case classification proves that the method is feasible.