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Community topic usage in social networks
(ACM, 2015-10)
When studying large social media data sets, it is useful to reduce the dimensionality of both the network (e.g. by finding communities) and user-generated data such as text (e.g. using topic models). Algorithms exist for ...
A comparison of emotion annotation approaches for text
(MDPI, 2018-05-11)
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 ...
The colloquial WordNet: Extending Princeton WordNet with neologisms
(Springer International Publishing, 2017-05-27)
Princeton WordNet is one of the most important resources for natural language processing, but has not been updated for over ten years and is not suitable for analyzing the fast moving language as used on social media. We ...
Towards a crowd-sourced WordNet for colloquial English
(The Global WordNet Association, 2018-01-08)
Princeton WordNet is one of the most
widely-used resources for natural language
processing, but is updated only infrequently
and cannot keep up with the
fast-changing usage of the English language
on social media ...
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 ...
NUIG at EmoInt-2017: BiLSTM and SVR ensemble to detect emotion intensity
(Association for Computational Linguistics, 2017-09-08)
This paper describes the entry NUIG in the WASSA 20171 shared task on emotion recognition. The NUIG system used an SVR (SVM regression) and BiLSTM ensemble, utilizing primarily n-grams (for SVR features) and tweet word ...
MixedEmotions: An open-source toolbox for multi-modal emotion analysis
(IEEE, 2018-01-25)
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 ...
First insights on a passive major depressive disorder prediction system with incorporated conversational chatbot
(AICS 2018 and CEUR-WS.org, 2018-12-06)
Almost 50% of cases of major depressive disorder go undiagnosed. In this paper, we propose a passive diagnostic system that
combines the areas of clinical psychology, machine learning and conversational dialogue systems. ...