Now showing items 1-6 of 6
Multimodal multimodel emotion analysis as linked data
The lack of a standard emotion representation model hinders emotion analysis due to the incompatibility of annotation formats and models from different sources, tools and annotation services. This is also a limiting factor ...
Teanga: a linked data based platform for natural language processing
(Language Resources and Evaluation Conference (LREC 2018), 2018-05-07)
In this paper, we describe Teanga, a linked data based platform for natural language processing (NLP). Teanga enables the use of many NLP services from a single interface, whether the need was to use a single service or ...
A comparison of emotion annotation schemes and a new annotated data set
(European Languages Resources Association (ELRA), 2018-05-07)
While the recognition of positive/negative sentiment in text is an established task with many standard data sets and well developed methodologies, the recognition of more nuanced affect has received less attention, and ...
A comparison of emotion annotation approaches for text
While the recognition of positive/negative sentiment in text is an established task with many standard data sets and well developed methodologies, the recognition of a more nuanced affect has received less attention: there ...
Automatic enrichment of terminological resources: the IATE RDF example
(European Language Resources Association, 2018-05-07)
Terminological resources have proven necessary in many organizations and institutions to ensure communication between experts. However, the maintenance of these resources is a very time-consuming and expensive process. ...
MixedEmotions: An open-source toolbox for multi-modal emotion analysis
Recently, there is an increasing tendency to embed the functionality of recognizing emotions from the user generated contents, to infer richer profile about the users or contents, that can be used for various automated ...