Document Vectorization based on Relationship of Words

Document vectorization is the process of building vector space model which has a number of potential applications on natural language processing. This paper describes an algorithm of vectorization through the relationships of word in a sentence based on the PageRank algorithm. The introduction of semantics relationship is then proposed to overcome the disadvantage of traditional statistics-based vectorization. Experimental results show that the new method has a better accuracy rate.