5572544f-42d1-4238-a878-108cdf3a0d0b English f05a3593-6f11-4c2e-9be2-da9eab8d64ce Series University of Oxford Helge Peters helge.peters@ouce.ox.ac.uk 2024-06-11T14:36:16.876872Z ISO 19115:2003/19139 1.0 EPSG:27700 EPSG:4936 River Sentiment Dashboard 2022-05-25 5572544f-42d1-4238-a878-108cdf3a0d0b_resource The River Sentiment Dashboard displays social media sentiment about more than 450 rivers and other waterbodies in the Thames basin in England alongside data about their ecological status. You can search for a river or look it up on a map. For each river, the dashboard shows how social media sentiment about the waterbody has shifted between positive and negative over time. The dashboard also shows which basic emotions Twitter users express when talking about the waterbody and which phrases they commonly use in their tweets. Using these data you can explore the link between human wellbeing and river water quality by comparing social media sentiment with ecological status. You can also explore the connection between the common phrases people use to describe the river with the reasons why it is not achieving good ecological status. If you want to compare between different rivers, you can use the colour-coded map at the bottom, which displays overall positive (blue), neutral (yellow), and negative (red) sentiment about all of the waterbodies in the Thames basin. University of Oxford Helge Peters helge.peters@ouce.ox.ac.uk https://hosted-metadata-uat.bgs.ac.uk/geonetwork/srv/api/records/5572544f-42d1-4238-a878-108cdf3a0d0b/attachments/RiverSentiment.PNG RiverSentiment.PNG water resources London climate change sentiment analysis water quality twitter rivers sentiment Thames GEMET - INSPIRE themes, version 1.0 2008-06-01 geonetwork.thesaurus.external.theme.httpinspireeceuropaeutheme-theme no limitations no conditions apply English inlandWaters geoscientificInformation environment http://data.os.uk/id/country/england -1.8239 0.7358 50.9072 51.8842 2008-01-01 2022-12-31 web page unknown https://riversentiment.app WWW:LINK-1.0-http--link River Sentiment Dashboard The River Sentiment Dashboard displays social media sentiment about more than 450 rivers and other waterbodies in the Thames basin in England alongside data about their ecological status. COMMISSION REGULATION (EU) No 1089/2010 of 23 November 2010 implementing Directive 2007/2/EC of the European Parliament and of the Council as regards interoperability of spatial data sets and services 2010-12-08 This Spatial Data Service set is conformant with the INSPIRE Implementing Rules for the interoperability of spatial data sets and services false The web-application was developed by a partnership of the University of Oxford, and Thames 21 on the Community Water Management for a Liveable London (CAMELLIA) project led by Imperial College London. The project was supported in 2021-2022 by the University of Oxford's ESRC Impact Acceleration Account. We mine the Twitter platform for tweets containing the names of 450 waterbodies in the Thames river basin management catchment. The total number of tweets collected is over 4 million tweets with a temporal resolution of January 1st 2008 to the present day. Datasets are aggregated at the water body scale and contain sentiment polarity, emotion detection, and common phrases. Our method for sentiment analysis utilised an augmented version of the NRC Word-Emotion Association Lexicon and a polarized context cluster algorithm in order to determine the sentiment score of a given waterbody. The NRC Word-Emotion Association Lexicon is a dictionary of English words and their associations with eight basic emotions (anger, fear, anticipation, trust, surprise, sadness, joy, and disgust) and two sentiments (negative and positive). The polarised context cluster algorithm gives better results than a simple lookup dictionary approach and functions by clustering groups of words in a tweet (normally around 4) and checks whether valence shifters effect the overall sentiment in the word cluster. Data about the ecological status of waterbodies and the reasons for not achieving good status are from the Environment Agency.