Text Processing

被引：0
|
作者：
Couto, Francisco M. [1 ]
机构：
[1] Univ Lisbon, Fac Ciencias, Dept Informat, LASIGE, Lisbon, Portugal
来源：
DATA AND TEXT PROCESSING FOR HEALTH AND LIFE SCIENCES | 2019年 / 1137卷
关键词：
NLP: Natural Language Processing; Text mining; Pattern matching; String matching; Word matching; Evaluation metrics; Regular expressions; Tokenization; NER: Named-Entity Recognition; Relation extraction;
D O I：
10.1007/978-3-030-13845-5_4
中图分类号：
Q [生物科学];
学科分类号：
07 ; 0710 ; 09 ;
摘要：
In the previous chapter we were able to automatically process structured data to retrieve biomedical text about any chemical compound, such as caffeine. This chapter will provide a step-by-step introduction to how we can process that text using shell script commands, specifically extract information about diseases related to caffeine. The goal is to equip the reader with an essential set of skills to extract meaningful information from any text.
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收藏
页码：45 / 60
页数：16
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