chorusanalytics.co.uk | Chorus tools for Twitter Data Collection and Analysis | Chorus Project

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Title	Chorus tools for Twitter Data Collection and Analysis \| Chorus Project \| Project site for the
Description	Home Download free software to collect and analyse Twitter data for research. Retrieve tweets based on keyword matches and user timelines. Read about case studies in Twitter analytics as posted from Chorus
Keywords	twitter api, data collection, analytics, social science research, visual analytics, visualisation, visualization, content analysis, online research, qualitative research

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WebSite	chorusanalytics.co.uk
Host IP	91.103.219.227
Location	United Kingdom

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chorusanalytics.co.uk Valuation

US$1,125,396

Last updated: 2023-05-12 13:40:48

chorusanalytics.co.uk has Semrush global rank of 9,404,960. chorusanalytics.co.uk has an estimated worth of US$ 1,125,396, based on its estimated Ads revenue. chorusanalytics.co.uk receives approximately 129,854 unique visitors each day. Its web server is located in United Kingdom, with IP address 91.103.219.227. According to SiteAdvisor, chorusanalytics.co.uk is safe to visit.

Traffic & Worth Estimates

Purchase/Sale Value	US$1,125,396
Daily Ads Revenue	US$1,039
Monthly Ads Revenue	US$31,165
Yearly Ads Revenue	US$373,978
Daily Unique Visitors	8,657
Note: All traffic and earnings values are estimates.

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HtmlToTextCheckTime:2023-05-12 13:40:48

Home Blog Downloads Support About Us Home Chorus is a free, evolving, data harvesting and visual analytics suite designed to facilitate and enable social science research using Twitter data. If you want to reference the Chorus project, please use the following citation: Brooker, P., Barnett, J., & Cribbin, T. (2016). Doing social media analytics. Big Data & Society , 3 (2). Download The promise of social media as a resource and topic of social science research is thus far as frustrating as it is tantalising. It is widely recognised that social media may have much to offer academic research, yet acquiring and making effective use of this material – part of what some refer to as ‘the big data challenge’ – seems to sit just outside of the technical skill set of many social scientists. Computer science possesses a rich array of algorithms, libraries and tools that can and have have been applied to the problem of mining big social datasets. Ongoing work is also making progress on the

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chorusanalytics.co.uk valuation and analysis