id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
work_ooc22yw4undevd5gkw5wapert4	Christina Reithmeier	Spatialities, Social Media and Sentiment Analysis: Exploring the Potential of the Detection Tool SentiStrength	2018	12	.pdf	application/pdf	5480	428	55	SentiStrength, a tool for sentiment analysis in geographic research. the SentiStrength online application to conduct our sentiment analysis. sentiment analysis, SentiStrength, Twitter, hashtags, construction of space social media platforms provide an unprecedented opportunity to collect and analyse finegrained data about socio-spatial actions. In our explorative study, we focus on sentiment analysis as a method for detecting opinions and sentiment in social media on certain topics (Thelwall et al., 2011). case study: a brief explorative analysis of tweets that tagged Frankfurt's Ostend (2017) used sentiment analysis of data from social media to identify latent sentiment analysis to detect spatial constructions on Twitter. programming skills, data collection via the Twitter API and the classification of the tweets Spatial construction of Frankfurt's Ostend in social media through sentiment analysis With 41 tweets classified as 'neutral', 9 as 'not negative' and 3 as 'not positive', SentiStrength Social media sentiment analysis: lexicon versus 	./cache/work_ooc22yw4undevd5gkw5wapert4.pdf	./txt/work_ooc22yw4undevd5gkw5wapert4.txt