A Soft Advertising Detection and Ad Extraction Method Based on Graph Network Structure Analysis
A technology of network structure analysis and network structure, which is applied in the field of software detection and advertisement extraction based on graph network structure analysis, can solve the problems of unsuitable identification and detection, and achieve the effect of improving accuracy, good management and supervision
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[0044] The present invention will be described in detail below in conjunction with the accompanying drawings.
[0045] The present invention proposes a soft advertising detection and advertisement extraction method based on graph network structure analysis, including the following steps:
[0046] In the present invention, TF-IDF is term frequency-inverse document frequency.
[0047] Step 1: Calculate the TF-IDF feature vector: First, segment each article in the corpus, then calculate the TF-IDF value of each word, and obtain the TF-IDF feature of each article according to the TF-IDF value of each word vector;
[0048] The formula for calculating TF-IDF eigenvalues is as follows:
[0049]
[0050] Among them, tfidf(w) is the TF-IDF value of word w, #(w,A) indicates the word frequency of word w in article A, N w is the number of words in article A, |D| is the number of articles in the corpus, I(w,A) is an indicator function, when the word w is in article A, the function ...
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