  The surge in the number of books published makes the manual evaluation
methods difficult to efficiently evaluate books. The use of books' citations
and alternative evaluation metrics can assist manual evaluation and reduce the
cost of evaluation. However, most existing evaluation research was based on a
single evaluation source with coarse-grained analysis, which may obtain
incomprehensive or one-sided evaluation results of book impact. Meanwhile,
relying on a single resource for book assessment may lead to the risk that the
evaluation results cannot be obtained due to the lack of the evaluation data,
especially for newly published books. Hence, this paper measured book impact
based on an evaluation system constructed by integrating multiple evaluation
sources. Specifically, we conducted finer-grained mining on the multiple
evaluation sources, including books' internal evaluation resources and external
evaluation resources. Various technologies (e.g. topic extraction, sentiment
analysis, text classification) were used to extract corresponding evaluation
metrics from the internal and external evaluation resources. Then, Expert
evaluation combined with analytic hierarchy process was used to integrate the
evaluation metrics and construct a book impact evaluation system. Finally, the
reliability of the evaluation system was verified by comparing with the results
of expert evaluation, detailed and diversified evaluation results were then
obtained. The experimental results reveal that differential evaluation
resources can measure the books' impacts from different dimensions, and the
integration of multiple evaluation data can assess books more comprehensively.
Meanwhile, the book impact evaluation system can provide personalized
evaluation results according to the users' evaluation purposes. In addition,
the disciplinary differences should be considered for assessing books' impacts.
