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Using group supervision and social annotation systems to support students’ academic writing
In this best practice paper, we present how we have used a Social annotation system (SAS) in a bachelor’s thesis course in media technology to support students’ academic writing.
Daniel Pargman +2 more
doaj +7 more sources
Resource recommendation in social annotation systems: A linear-weighted hybrid approach
AbstractSocial annotation systems enable the organization of online resources with user-defined keywords. Collectively these annotations provide a rich information space in which users can discover resources, organize and share their finds, and connect to other users with similar interests.
Jonathan Gemmell +3 more
openaire +3 more sources
Image annotation is challenging due to the explosive increase of image data in cyber-physical-social systems. Because of the semantic gap between images and corresponding labels, it has attracted extensive attentions in recent years.
Zhaolong Ning +3 more
doaj +2 more sources
Retrieval and Annotation of Music Using Latent Semantic Models [PDF]
PhDThis thesis investigates the use of latent semantic models for annotation and retrieval from collections of musical audio tracks. In particular latent semantic analysis (LSA) and aspect models (or probabilistic latent semantic analysis, pLSA) are ...
Levy, Mark
core +4 more sources
The central symptom of autism spectrum disorder (ASD) is deficiency in social communication, which is generally viewed as being caused by pragmatic impairment (PI). PI is difficulty in using language appropriately in social situations.
Sumi Kato +6 more
doaj +1 more source
Successful classroom deployment of a social document annotation system [PDF]
NB is an in-place collaborative document annotation website targeting students reading lecture notes and draft textbooks. Serving as a discussion forum in the document margins, NB lets users ask and answer questions about their reading material as they are reading.
Sacha Zyto +3 more
openaire +4 more sources
Parallelizing support vector machines for scalable image annotation [PDF]
This thesis was submitted for the degree of Doctor of Philosophy and awarded by Brunel University.Machine learning techniques have facilitated image retrieval by automatically classifying and annotating images with keywords.
Alham, Nasullah Khalid
core +7 more sources
An aspect-level sentiment analysis dataset for therapies on Twitter
The dataset described is an aspect-level sentiment analysis dataset for therapies, including medication, behavioral and other therapies, created by leveraging user-generated text from Twitter. The dataset was constructed by collecting Twitter posts using
Yuting Guo +3 more
doaj +1 more source
A game-based approach towards human augmented image annotation. [PDF]
PhDImage annotation is a difficult task to achieve in an automated way. In this thesis, a human-augmented approach to tackle this problem is discussed and suitable strategies are derived to solve it.
Seneviratne, Attgalage Lasantha Gunathilaka
core +4 more sources
TED-S: Twitter Event Data in Sports and Politics with Aggregated Sentiments
Even though social media contain rich information on events and public opinions, it is impractical to manually filter this information due to data’s vast generation and dynamicity. Thus, automated extraction mechanisms are invaluable to the community. We
Hansi Hettiarachchi +4 more
doaj +1 more source

