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作 者:王红[1] 王雅琴 黄建国 Wang Hong;Wang Yaqin;Huang Jianguo(Library,Shanxi University of Finance and Economics,Taiyuan 030006,China;School of Information,Shanxi University of Finance and Economics,Taiyuan 030006,China;Taiyuan Daran Science and Technology Co.Ltd,Taiyuan 030006,China)
机构地区:[1]山西财经大学图书馆,山西太原030006 [2]山西财经大学信息学院,山西太原030006 [3]太原大然科技有限责任公司,山西太原030006
出 处:《现代情报》2021年第9期74-83,共10页Journal of Modern Information
基 金:国家社会科学基金项目“人工智能图书采访决策模型研究”(项目编号:17BTQ026)。
摘 要:[目的/意义]依据图书客观特征作为图书采访依据,相比依据读者需求作为图书采访依据,更具有客观基础。[方法/过程]在馆藏图书是否发生过流通的分类划分基础上,对以题名、出版社为特征的馆藏图书的描述信息,通过文本分类技术,形成图书特征划分方法,对馆藏是否发生过流通进行的统计结果,转化为可以利用人工智能的朴素贝叶斯分类等技术,进行分类学习的概率事件。[结果/结论]模型运行的结果,表明基于文本分词朴素贝叶斯分类技术,能够根据图书表征,对图书流通趋势进行分类,可以使图书采访摆脱人工主观因素干扰,并提供客观可靠的量化依据。[Purpose/Significance]According to the objective characteristics of books as the basis for book acquisition,compared with based on the needs of readers as the basis for book acquisition,it has a more objective basis.[Methods/Process]On the basis of the classification and division of whether the collection of books has been circulated,the description information of the collection of books characterized by titles and publishers was formed through text classification technology to form a book feature classification method,and the statistical results of whether the collection has been circulated,it can be transformed into probabilistic events that can be classified and learned using techniques such as Naive Bayesian classification of artificial intelligence.[Results/Conclusion]The results of the operation of the model show that the Naive Bayesian classification technology based on text segmentation can classify the trend of book circulation according to the book representation,which can make the book acquisition get rid of the interference of artificial subjective factors,and provide objective and reliable quantitative evidence.
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