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TEXT CLASSIFICATION AND SENTIMENTIZATION WITH VISUALIZATION
TEXT CLASSIFICATION AND SENTIMENTIZATION WITH VISUALIZATION
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机译:可视化的文本分类和情感化
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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.
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