Successive principal axes filter method of multi-document automatic summarization
An automatic summary and multi-document technology, applied in the field of text information, can solve problems such as low precision, high cost, and limited application, achieving high precision and good results
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[0015] The basic process is to express each sentence as a space vector, calculate the similarity between two sentences, obtain a similarity matrix, obtain the main feature vector to obtain the importance of each sentence, extract the most important sentence, and then Redundant information between the remaining sentences and the extracted sentences is removed.
[0016] 1. The vector space representation of sentences.
[0017] Suppose there are now n sentences, and a total of m words appear. Then each sentence is represented by an m-dimensional vector, and n sentences form an m×n matrix, denoted as M. m ij Represents the tfidf value of the i-th word in the j-th sentence: M ij = tf ij × log n df i , where tf ij Indicates the frequency of the i-th word appearing in the j-th sentence, df i Indica...
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