Semantic recognition of altered Chinese junk short messages based on lexical chain
Li Gao · Computer Engineering and Applications Journal · 2012
An algorithm for recognition of altered Chinese junk short message based on lexical chain is proposed.By constructing lexical chains for each short message text,the multiple depiction clews can be conveyed,and some strong lexical chains with high quality can be extracted to represent main content,and can remove redundancy that different keyword sequence reflects same meanings.It compares the lexical chains constructed to determine the variation of junk short messages.Experimental results show that this approach can identify the variation of junk short messages more accurately.