Summary of the paper

Title A data and analysis resource for an experiment in text mining a collection of micro-blogs on a political topic.
Authors William Black, Rob Procter, Steven Gray and Sophia Ananiadou
Abstract The analysis of a corpus of micro-blogs on the topic of the 2011 UK referendum about the Alternative Vote has been undertaken as a joint activity by text miners and social scientists. To facilitate the collaboration, the corpus and its analysis is managed in a Web-accessible framework that allows users to upload their own textual data for analysis and to manage their own text annotation resources used for analysis. The framework also allows annotations to be searched, and the analysis to be re-run after amending the analysis resources. The corpus is also doubly human-annotated stating both whether each tweet is overall positive or negative in sentiment and whether it is for or against the proposition of the referendum.
Topics Corpus (creation, annotation, etc.), Tools, systems, applications, Information Extraction, Information Retrieval
Full paper A data and analysis resource for an experiment in text mining a collection of micro-blogs on a political topic.
Bibtex @InProceedings{BLACK12.1056,
  author = {William Black and Rob Procter and Steven Gray and Sophia Ananiadou},
  title = {A data and analysis resource for an experiment in text mining a collection of micro-blogs on a political topic.},
  booktitle = {Proceedings of the Eight International Conference on Language Resources and Evaluation (LREC'12)},
  year = {2012},
  month = {may},
  date = {23-25},
  address = {Istanbul, Turkey},
  editor = {Nicoletta Calzolari (Conference Chair) and Khalid Choukri and Thierry Declerck and Mehmet Uğur Doğan and Bente Maegaard and Joseph Mariani and Asuncion Moreno and Jan Odijk and Stelios Piperidis},
  publisher = {European Language Resources Association (ELRA)},
  isbn = {978-2-9517408-7-7},
  language = {english}
 }
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