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Data · dataset · 2020

User Profiling for CSDN: Keyphrase Extraction, User Tagging and User Growth Value Prediction

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Six tables, five figures and one algorithm of this paper.

Description

Table 1 shows candidate phrases. Table 2 demonstrates performance of different types of features.

Table 3 summarizes notations used in this paper. Table 4 shows the statistics of data sets. Table 5 compares scores of methods.

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Table 6 shows performance of models. Algorithm 1 shows semi-supervised regression algorithm. Figure 1 shows candidate phrase generation procedure.

Figure 2 is the framework of a two-phase model. Figure 3 depicts the architecture of the neural network. Figure 4 shows the architecture of user growth value prediction.

Figure 5 presents bagging of primary model.

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Provenance · 1 source records, 12 field assertions
SourceKeyLast seenRaw
ScienceDB10.11922/sciencedb.j00104.0002610 d agoJSON v1
FieldAssertionExtractorEvidence
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