A Text Analyser of Crowdsourced Online Sources for Knowledge Discovery

Markou, Ioannis and Papatheocharous, Efi (2016) A Text Analyser of Crowdsourced Online Sources for Knowledge Discovery. In: Eighth International Conference on Advances in Databases, Knowledge, and Data Applications, 26-30 June 2016, Lisbon, Portugal.

PDF - Published Version

Official URL:


In the last few years, Twitter has become the centre of crowdsourced-generated content. Numerous tools exist to analyse its content to lead to knowledge discovery. However, most of them focus solely on the content and ignore user features. Selecting and analysing user features such as user activity and relationships lead to the discovery of authorities and user communities. Such a discovery can provide an additional perspective to crowdsourced data and increase understanding of the evolution of the trends for a given topic. This work addresses the problem by introducing a dedicated software tool developed, the Text Analyser of Crowdsourced Online Sources (TACOS). TACOS is a social relationship search tool that given a search term, analyses user features and discovers authorities and user communities for that term. For knowledge representation, it visualises the output in a graph, for increased readability. In order to show the applicability of TACOS, we have chosen a real example and aimed through two case studies to discover and analyse a specific type of user communities.

Item Type:Conference or Workshop Item (Paper)
ID Code:6177
Deposited By:Efi Papatheocharous
Deposited On:02 Jan 2018 12:21
Last Modified:02 Jan 2018 12:21

Repository Staff Only: item control page