Explorations into deep neural models for emotion recognition

Date Issued
2018-09-17
Author(s)
Stojanovska, Frosina
Abstract
Deep emotion recognition is the central objective of our
recent research efforts. This study examines the capability of several deep
learning architectures and word embeddings to classify emotions on two
Twitter datasets. We have identified several aspects worth investigating
that appeared to challenge and contrast previously established notion
that semantic information is captured by distributional word representations. Our evidence has shown that extending the word embeddings
to account for the use of emojis and incorporating a suitable lexicon
of emotional words can lead to a better classification of the emotional
content carried by Twitter messages.
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Emotion detection · D...

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