A Classifier-based Information Classification Method for Shopping Guide Web Pages
A classification method and classifier technology, applied in the field of information classification of shopping guide webpages, can solve the problems of manpower and time, achieve accurate weight values and reduce manual participation
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[0065] For shopping guide data such as 3C digital, set sub-categories including:
[0066] "Information, new products, evaluation, shopping guide, market, knowledge, experience", the whole process includes:
[0067] (1) First, through the information gain calculation process, a batch of weight words that can be used for calculation is obtained;
[0068] (2) Then train this batch of weighted words and training data to obtain the weight value of the weighted words under each category, that is, each category gets a weight vector;
[0069] (3) Finally, in the formal process, the weight vector is dot-multiplied to obtain the final classification.
[0070] Assuming that step (1) has been completed and a batch of weighted words (see the first column of the table below), set in step (2):
[0071] The maximum threshold is: 2
[0072] The minimum threshold is: 0.8
[0073] The training stop condition is:
[0074] (1) The number of training sessions exceeds 100; ...
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