@PHDTHESIS{ 2017:1343893478, title = {A language-based approach to support the identification of tagging behaviour}, year = {2017}, url = "http://tede2.pucrs.br/tede2/handle/tede/8697", abstract = "Tags work as a tool to support search engines on the task of finding resources by their subject matter and the content they bring. However, users have expanded tag functionality with the intent of expressing opinion, personal categorization, and even as a tool for spamming propagation. Users can provide a great deal of qualitative data about their motivations for tagging, but little has been explored regarding tagging behaviour and patterns from a quantitative and contextual point of view. As tags are basically keywords that users resort as a tool for describing content, we analyzed their use from a linguistics perspective. The results we found during a set of user studies we conducted supported us on the task of designing a language-based approach that rely on tagging patterns as quantitative data for the identification of tagging behaviour. During a case study to analyze our approach, we used real datasets to compute the features we defined in our model in combination with clustering tools applied to datasets from Flickr and Instagram, resulting in personas that explain users? motivation for tagging. We were able to point to the differences among tagging behaviour and how the choice of structure or language for tagging could be used as source to identify users? motivation for tagging when sharing content online. We found that the patterns and motivation we have modeled in our approach replicate in real datasets. This could benefit those who wish to use tags as source for a variety of projects, such as modeling users? behaviour through tags available online, choosing a recommendation approach based on users? motivations for tagging, preselecting data and tags as source for recommendation according to system goals and user needs, identifying users opened to receive contextual content, among others.", publisher = {Pontif?cia Universidade Cat?lica do Rio Grande do Sul}, scholl = {Programa de P?s-Gradua??o em Ci?ncia da Computa??o}, note = {Escola Polit?cnica} }