Survey of Text Mining 在线电子书 图书标签: text mining
发表于2024-09-09
Survey of Text Mining 在线电子书 pdf 下载 txt下载 epub 下载 mobi 下载 2024
Extracting content from text continues to be an important research problem for information processing and management. Approaches to capture the semantics of text-based document collections may be based on Bayesian models, probability theory, vector space models, statistical models, or even graph theory. As the volume of digitized textual media continues to grow, so does the need for designing robust, scalable indexing and search strategies (software) to meet a variety of user needs. Knowledge extraction or creation from text requires systematic yet reliable processing that can be codified and adapted for changing needs and environments. This book will draw upon experts in both academia and industry to recommend practical approaches to the purification, indexing, and mining of textual information. It will address document identification, clustering and categorizing documents, cleaning text, and visualizing semantic models of text.
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Survey of Text Mining 在线电子书 pdf 下载 txt下载 epub 下载 mobi 下载 2024