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AUTOMATED FILE NAMING AND FILE ORGANIZATION USING MACHINE LEARNING

机译:自动文件命名和文件组织使用机器学习

摘要

In some examples, before saving a file, a device analyzes contents (e.g., text and images) of the file to create a bag of words. The device performs Latent Dirichlet Allocation of the bag of words to determine topics included in the file and orders the topics in descending order of frequency. The device generates a particular name of the file based on the ordered topics and automatically save (or suggest saving) the file with the particular name. The device determines, based on the ordered topics, a folder name of a folder in which to store the file. If an existing folder has the folder name, then the device saves the file in the existing folder. If not, then the device creates a new folder with the folder name and saves the file in the new folder.
机译:在一些示例中,在保存文件之前,设备分析文件的内容(例如,文本和图像)以创建一袋单词。 该设备执行潜在的Dirichlet分配单词的袋子以确定文件中包含的主题,并以下降顺序排列主题。 该设备根据有序主题生成文件的特定名称,并自动使用特定名称保存(或建议保存)文件。 该设备基于有序主题确定用于存储文件的文件夹的文件夹名称。 如果现有文件夹具有文件夹名称,则设备将文件保存在现有文件夹中。 如果没有,则设备将创建一个带有文件夹名称的新文件夹,并将文件保存在新文件夹中。

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