An industry automatic classification method and system
An automatic classification and industrial technology, applied in the field of document analysis, can solve the problems of missing in-depth information, loss, etc., and achieve the effect of reducing the amount of annotation, improving computing efficiency and classification accuracy.
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Embodiment 1
[0084] like figure 1 , 2 Shown, step 1000, using industry tree generation module 200 defines the target tree industry, a range to be determined manually Patent divided needed.
[0085] Step 1100, validation module 210 determines a target using patentable scope. The need to define the tree industry: I = {i 1 , ..., i j , ..., i n }, Where, i j ∈I is an industry j is the number one industry, 1≤j≤n, n is the number of I at all leaf nodes. I is a set of any non-leaf node i jkl… = {I jkl…1 , ..., i jkl…t }, Other nodes of the outer leaf node ≧ 2, where, k is the number two industry, l is a three sector number, t is the penultimate stage number industry.
[0086] Step 1200, using the tag generation module 220 generates a marker at the target tree industry, resource constraints determine the number p can be marked according to the patent, p≥N, each leaf node of a tree of at least marking industry patent belongs to the node, wherein, N is the number of a last sector.
[0087] Step 1300, c...
Embodiment 2
[0115] A method for automatic classification of industries, including the following steps:
[0116] 1, define the target tree industry. The need to define the tree industry: I = {i 1 , ..., i n }, Where i j ∈I as an industry, we can continue to be divided into two sectors, i j = {I j1 , ..., i jm }, And so on, any of a non-leaf node I i jkl… = {I jkl…1 , ..., i jkl…t }. According to other nodes outside of general practice by sector, leaf nodes ≥2. Let N be the number of all I leaf nodes.
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