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Benefits and pitfalls of using tweets to assess destination sentiment
Susanne Becken
, Ali Reza Alaei
,
Ying Wang
Research output
:
Journal article publication
›
Journal article
›
Academic research
›
peer-review
37
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Citations (Scopus)
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Dive into the research topics of 'Benefits and pitfalls of using tweets to assess destination sentiment'. Together they form a unique fingerprint.
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Keyphrases
Tweets
100%
Twitter Data
60%
Tourism Destination
40%
Gold Coast
40%
Destination Performance
40%
Tourism
20%
Social Media
20%
Travellers
20%
Design Methodology
20%
Performance Monitoring
20%
Filter Method
20%
Social Benefits
20%
Positive Bias
20%
Destination Management
20%
Multi-source Data
20%
Guest Satisfaction
20%
Visitor Satisfaction
20%
International Visitors
20%
Smart Systems
20%
Real-time Processing
20%
Electronic Word-of-mouth
20%
Reasoning Algorithm
20%
User-generated Content
20%
Sentiment Analysis
20%
Big Data Approach
20%
Resident Satisfaction
20%
Customer Experience
20%
User Analysis
20%
Twitter User
20%
Sentiment Score
20%
East Coast
20%
Smart Destination
20%
Social Media Sentiment
20%
Non-traditional Data
20%
Consumer Sentiment
20%
Large Amount of Data
20%
Points of Differentiation
20%
Future Employment
20%
Satisfaction Tracking
20%
Fast-growing
20%
Valence Aware Dictionary for Sentiment Reasoning (VADER)
20%
Social Sciences
Social Media
100%
Tourism
50%
Research Focus
50%
Design Methodology
50%
Performance Monitoring
50%
Electronic Word of Mouth
50%
Destination Management
50%
Information Processing
50%
Information Source
50%
Social Benefit
50%
Big Data
50%
Opinion Mining
50%
Customer Experience
50%