A Comparison of Word-Embeddings in Emotion Detection from Text using BiLSTM, CNN and Self-Attention

ADJUNCT PUBLICATION OF THE 27TH CONFERENCE ON USER MODELING, ADAPTATION AND PERSONALIZATION (ACM UMAP '19 ADJUNCT), pp. 63-68, 2019.

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Abstract:

User profiling is becoming increasingly holistic by including aspects of the user that until a few years ago seemed irrelevant. The content that users produce on the Internet and is an essential source of information about their habits, preferences, and behaviors in many situations. One factor that has proved to be very important for obta...More

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