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Image tagging in Internet is becoming a crucial aspect in the search activity of many users all over the world, as online content evolves from being mainly text based, to being multi-media based (text, images, sound, ...). In this paper we present a study carried out for native and non native English language taggers, with the objective of providing user support depending on the detected language skills and characteristics of the user. In order to do this, we analyze the differences between how users tag objectively (using what we call ‘see’ type tags) and subjectively (by what we call ‘evoke’ type tags). We study the data using bivariate correlation, visual inspection and rule induction. We find that the objective/subjective factors are discriminative for native/non native users and can be used to create a data model. This information can be utilized to help and support the user during the tagging process.

USER STUDY OF THE ASSIGNMENT OF OBJECTIVE AND SUBJECTIVE TYPE TAGS TO IMAGES IN INTERNET - Evaluation for Native and non Native English Language Taggers