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Extracts Entities from reviews and captions of a business

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Name		Name	Last commit message	Last commit date
Latest commit History 1 Commit
.idea		.idea
README		README
TagExample.py		TagExample.py
TagsForReviews.iml		TagsForReviews.iml
encodings.xml		encodings.xml
misc.xml		misc.xml
modules.xml		modules.xml
workspace.xml		workspace.xml

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****Author: Laura M. Rodriguez
****Purpose: Extract entities from reviews and captions from some businesses in YELP Dataset


 It extracts the noun phrases from the text.
 Then makes them singular. And finally, lemmatize them.
*Still working on writing results to a file to later create a pickle object for later use

 25min I got to process 272 reviews from the Mon Ami Gabi restaurant in Vegas
 Using Processor: i3 RAM: 4Gb
It will run faster in a machine with more computing power and RAM