Computer-based Textual Analyses of French and British Parliamentary Debates on Direct Participation: Methodological Issues and Comparisons.
Lead Research Organisation:
London School of Economics and Political Science
Department Name: Methodology
Abstract
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People |
ORCID iD |
| Aude Bicquelet-Lock (Principal Investigator / Fellow) |
Publications
Martin Bauer
(2014)
Textual Analysis: Four Volumes Sage Benchmarks in Social Research Methods.
| Description | This Postdoctoral Fellowship enabled me to: - Receive high quality training in text-mining methods. - Disseminate and publish research outputs. - Develop contacts and networking activities with scholars specialized in the field of computer-based methods through the organisation of seminars and conferences (i.e; Text-Mining and the particular contribution of Alceste, LSE, London; 28-29 June 2010). - Initiate new projects with senior members of staff at the MI (i.e; 'Key Papers in Text Analysis with Martin Bauer and Ahmet Suerdem), Sage. Benchmarks in Social Science Methods. - Develop my teaching experience. - Find a job in the academic sector. |
| Exploitation Route | Findings for this award have been taken forward by data mining/text analysis specialists, practitioners and software developers. |
| Sectors | Education,Government, Democracy and Justice |
| Description | Findings for this award have been used for research and educational purposes mainly. |
| First Year Of Impact | 2010 |
| Sector | Digital/Communication/Information Technologies (including Software),Education,Government, Democracy and Justice |
| Impact Types | Cultural,Societal,Economic,Policy & public services |
| Description | Text-mining Conferences |
| Form Of Engagement Activity | A formal working group, expert panel or dialogue |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Other academic audiences (collaborators, peers etc.) |
| Results and Impact | Text-Mining Conferences organized thanks to this award were an opportunity for Methodologists, Political Scientists and Data Miners to come together to discuss applications and experiences in using Text-Mining Methods for Public Policy analysis. The conferences examined the application of digital technologies to support social and policy research within various methodological strands: (1) Quantitative text analysis (2) Exploratory Content analysis (3) Qualitative analysis of Content. Presentations focused on innovation in methodology and applications of Text-Mining techniques to analyse and inform public policy decisions. |
| Year(s) Of Engagement Activity | 2010,2011,2012,2014 |