READ ME File For 'Dataset for 'Data Mining Locative Thematic Narratives: Analysing Twitter and POI Data to Extract Precise Spatial Themes' PhD thesis'

Dataset DOI: 10.5258/SOTON/D1481

ReadMe Author: Nicholas Bennett, nick_bennett@hotmail.co.uk

This dataset supports the thesis entitled 'Data Mining Locative Thematic Narratives: Analysing Twitter and POI Data to Extract Precise Spatial Themes'
AWARDED BY: University of Southampton
DATE OF AWARD: September 2020

DESCRIPTION OF THE DATA

First_Experiment_Submission.csv (CC-BY-NC)
- Tweets covering June 16-19 2016
- Southampton, UK


Main_Submission.csv (CC-BY-NC)
- July 2016-August 2018 
- Hampshire, UK

Following TwitterÕs Terms of Service, only tweet IDs are allowed to be shared. You, the data viewer, will need to create a script (eg in Python) to contact the Twitter API, query these tweet IDs and get the full message. 

FEPS_Content_Form_Clean.pdf (CC-BY)
- Refers to the consent forms for Treasury and ONS interviewees contacted during the experimentation period.

Temporal coverage: June 2016 - October 2018

Information about geographic location of data collection: Hampshire

Licence: See Above

Related projects/Funders: Grant: EP/L016117/1

Related publication - Data used in part or whole in:

Bennett, N. C., Millard, D., and Martin, D. (2016). Narrative Extraction through the Detection and Characterisation of National and Local Events. In Gartner, G. and Huang, H., editors, Proceedings of the 13th International Conference on Location Based Services, pages 196Ð200, Vienna, Austria. Vienna University of Technology.

Bennett, N. C., Millard, D., Martin, D., and Amirian, P. (2017a). Spatial Narrative Con- struction using Thematic KDE. In Proceedings of the 2017 International Conference on GeoComputation, pages 1Ð8, Leeds, UK. Centre for Computational Geography, University of Leeds.

Bennett, N. C., Millard, D., Martin, D., and Amirian, P. (2017b). Towards a Unified Narrative-Centric Spatial Clustering Model of Social Media Volunteered Geographic Information. In Proceedings of the 25th GIS Research UK (GISRUK) 2017, pages 1Ð7, Manchester, UK.

Bennett, N. C., Millard, D. E., and Martin, D. (2018). Assessing Twitter Geolocation Resolution. In Akkermans, H., Fontaine, C., and Vermeulen, I., editors, Proceedings of the 10th ACM Conference on Web Science, pages 239Ð243, Amsterdam, Netherlands. ACM.