July 2017
Beginner to intermediate
486 pages
13h 49m
English
Content preview from Python Natural Language Processing
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Extracting and understanding the features
NER tags are really important because they help you to understand sentence structure and help machines or NLP systems to understand the meaning of certain words in a sentence.
Let's take an example. If you are building a proofreading tool, then this NER tool is very useful because NER tools can find a person's name, an organizations' name, currency-related symbols, numerical formats, and so on that will help your proofreading tool identify exceptional cases present in text. Then, according to the NER tag, the system can suggest the necessary changes. Take the sentence, Bank of America announced its earning today morning. In this case, the NER tool gives the tag organization for Bank of America, which ...
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