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TEXT CLASSIFICATION AND SENTIMENTIZATION WITH VISUALIZATION

机译:可视化的文本分类和情感化

摘要

A text classification method includes loading a corpus of text that different words organized as different collections of comments and concurrently submitting each of the comments to a topic modeler and a sentiment analysis engine, and receiving for each of the comments, a set of topics likely to be associated with a corresponding one of the comments and an associated sentiment. Then, a visualization is generated of each of the comments, and each of the comments are represented in the visualization with a respective graphical image. Groups of the graphical images are clustered according to topic common to associated ones of the comments, arranged by sentiment, and a corresponding common topic is displayed in connection with each clustered group. In response to an activation of one of the graphical images, at least a portion of a represented one of the comments are displayed in a window of the user interface.
机译:文本分类方法包括加载文本语料库,该文本语料库将不同的单词组织为不同的评论集合,并同时将每个评论提交给主题建模者和情感分析引擎,并为每个评论接收一组可能与相应的评论之一和相关的情感相关联。然后,生成每个注释的可视化,并且每个注释在可视化中用各自的图形图像表示。图形图像的组根据与评论中的相关注释相关的公共主题进行聚类,并按情感排列,并与每个聚类的组一起显示相应的公共主题。响应于图形图像之一的激活,所表示的评论之一的至少一部分被显示在用户界面的窗口中。

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