Collecting and Analyzing Patient Experiences of Health Care From Social Media.

ABSTRACT:

Background

Social Media, such as Yelp, provides rich information of consumer experience. Previous studies suggest that Yelp can serve as a new source to study patient experience. However, the lack of a corpus of patient reviews causes a major bottleneck for applying computational techniques.

Objective

The objective of this study is to create a corpus of patient experience (COPE) and report descriptive statistics to characterize COPE.

Methods

Yelp reviews about health care-related businesses were extracted from the Yelp Academic Dataset. Natural language processing (NLP) tools were used to split reviews into sentences, extract noun phrases and adjectives from each sentence, and generate parse trees and dependency trees for each sentence. Sentiment analysis techniques a

SUBMITTER: Rastegar-Mojarad M 

PROVIDER: S-EPMC4526973 | biostudies-literature | 2015 Jul

REPOSITORIES: biostudies-literature