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Title: "Big Data Intelligence" by Liu Zhiyuan and others | 20220627
Date: 2022-06-27 19:44:41
Tags: Book Notes
Summary: Big data intelligence is currently attracting a lot of attention. In Chapter 5, the focus is on the tool of intelligent summarization in the main body model. The main problem addressed is how to quickly understand and obtain the main coverage of a text dataset, as well as analyze the main semantic information contained in each text document. The essence of this is the need for content summarization, semantic extraction, and semantic representation for text datasets. The principle used is the topic model, which provides a modeling approach, method, and tool to extract topics and their distributions from large-scale or even massive text collections. These results can be used for preliminary semantic analysis of the corpus and as "higher-level knowledge" for other advanced semantic analysis and mining tasks. Through topic extraction, the main semantic information of a corpus can be easily obtained, and each topic can be understood as a weight on all vocabulary. By selecting several words with high weights within a topic, visualizations of topic semantic information can be formed for user understanding.