Zobrazeno 1 - 10
of 79
pro vyhledávání: '"Hywel T P Williams"'
Publikováno v:
PLoS ONE, Vol 19, Iss 4, p e0299490 (2024)
Researchers commonly perform sentiment analysis on large collections of short texts like tweets, Reddit posts or newspaper headlines that are all focused on a specific topic, theme or event. Usually, general-purpose sentiment analysis methods are use
Externí odkaz:
https://doaj.org/article/efb5e07bc62c4bf6859d6a175ed4f74f
Publikováno v:
PLoS ONE, Vol 16, Iss 4, p e0250656 (2021)
Exposure to media content is an important component of opinion formation around climate change. Online social media such as Twitter, the focus of this study, provide an avenue to study public engagement and digital media dissemination related to clim
Externí odkaz:
https://doaj.org/article/4dff03dc64d84e92817f919e8ffe944c
Autor:
Iraklis Moutidis, Hywel T P Williams
Publikováno v:
PLoS ONE, Vol 16, Iss 6, p e0253010 (2021)
Question and answer (Q&A) websites are a medium where people can communicate and help each other. Stack Overflow is one of the most popular Q&A websites about programming, where millions of developers seek help or provide valuable assistance. Activit
Externí odkaz:
https://doaj.org/article/3d3c96de34f44c16967130b33d4f09d0
Autor:
Rudy Arthur, Hywel T P Williams
Publikováno v:
PLoS ONE, Vol 14, Iss 7, p e0218454 (2019)
Twitter has become an important platform for geo-spatial analyses, providing high-volume spatial data on a wide variety of social processes. Understanding the relationship between population density and Twitter activity is therefore of key importance
Externí odkaz:
https://doaj.org/article/fbefc6e0e60c42f898000615006f8a16
Autor:
Rudy Arthur, Hywel T P Williams
Publikováno v:
PLoS ONE, Vol 14, Iss 4, p e0214466 (2019)
Given the centrality of regions in social movements, politics and public administration, here we aim to quantitatively study regional identity, cross-region communication and sentiment. This paper presents a new methodology to study social interactio
Externí odkaz:
https://doaj.org/article/94fa1d55a1694103951788063b6c2e8a
Publikováno v:
PLoS ONE, Vol 14, Iss 11, p e0225770 (2019)
Student engagement is an important factor for learning outcomes in higher education. Engagement with learning at campus-based higher education institutions is difficult to quantify due to the variety of forms that engagement might take (e.g. lecture
Externí odkaz:
https://doaj.org/article/46d7c3f14a6f446ebc936160444c14de
Publikováno v:
PLoS ONE, Vol 13, Iss 1, p e0189327 (2018)
"Social sensing" is a form of crowd-sourcing that involves systematic analysis of digital communications to detect real-world events. Here we consider the use of social sensing for observing natural hazards. In particular, we present a case study tha
Externí odkaz:
https://doaj.org/article/794635d7e03c416aa3030f66b693632f
Publikováno v:
Sensors, Vol 21, Iss 11, p 3717 (2021)
Heatwaves cause thousands of deaths every year, yet the social impacts of heat are poorly measured. Temperature alone is not sufficient to measure impacts and “heatwaves” are defined differently in different cities/countries. This study used data
Externí odkaz:
https://doaj.org/article/ccd5a901b3344c788c8f6ca319392ca0
Autor:
Rudy Arthur, Tom Powell, John Ambler, Kirsten J. Lees, Chris A. Boulton, Timothy M. Lenton, Hywel T. P. Williams, Joshua Buxton, Arwen E. Nicholson
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-9 (2021)
Scientific Reports
Scientific Reports
Nature-based solutions to climate change are growing policy priorities yet remain hard to quantify. Here we use remote sensing to quantify direct and indirect benefits from community-led agroforestry by The International Small group and Tree planting
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4221e480f21db3296b9468f9e93f59a3
https://doaj.org/article/91891e8ae80744c1adf57b6c11788e22
https://doaj.org/article/91891e8ae80744c1adf57b6c11788e22
Publikováno v:
Natural Hazards and Earth System Sciences, Vol 21, Pp 2407-2425 (2021)
Impact-based weather forecasting and warnings create the need for reliable sources of impact data to generate and evaluate models and forecasts. Here we compare outputs from social sensing – analysis of unsolicited social media data, in this case f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::435106be64effba572871d3e0d789044
https://doi.org/10.5194/nhess-21-2407-2021
https://doi.org/10.5194/nhess-21-2407-2021