高级电子数据展示预览版 (编码模块) Predictive coding module for Advanced eDiscovery (preview)

使用高级电子数据展示中新的预测编码模块,可以创建和构建一个模型,以优先查看以最相关的文档开始的文档。Using the new predictive coding module in Advanced eDiscovery, you can create and build a model to prioritize review of documents starting with the most relevant documents. 若要开始,您可以创建一个模型,将文档标记为 50 个,然后按模型预测分数筛选文档,以查看相关的非相关文档。To get started, you can create a model, label as few as 50 documents, and then filter documents by model prediction scores to review relevant non-relevant documents.

以下是工作流的快速概述:Here’s a quick overview of the workflow:

  1. 打开审阅集内预测编码模块。Open the predictive coding module in a review set.

    单击评论中的"分析"下拉列表以转到预测编码模块

  2. 在" 预测编码模型" 页上,单击" 新建模型 "以创建新的预测编码模型。On the Predictive coding models page, click New model to create a new predictive coding model.

    创建新模型

  3. 将至少 50 个文档标记为 "相关"或"不相关"。Label at least 50 documents as Relevant or Not relevant. 此标记用于训练系统。This labeling is used to train the system.

    将文档标记为与系统培训相关或不相关

  4. 模型预测分数 筛选器应用于评价集。Apply the Prediction score filter for your model to the review set. 为此,请执行以下操作:To do this:

    1. 在审阅集内,单击"筛选器 "。In the review set, click Filters.

    2. 在"筛选器"飞出页中,展开 "分析/ML" 部分,然后选中要应用的模型的"预测分数"复选框。In the Filters flyout page, expand the Analytics/ML section and then select Prediction score checkbox for the model you want to apply.

    3. 在预测 分数 筛选器中,指定预测分数。In the Prediction score filter, specify a prediction score. 筛选器将显示审阅集内与预测分数匹配的文档。The filter will display the documents in the review set that match the prediction score.

      指定用于筛选文档预测分数

  5. 监视模型的性能、状态和稳定性。Monitor the performance, status, and stability of your model.

    监视模型的性能、状态和稳定性