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KUCST@LT-EDI-ACL2022: Detecting Signs of Depression from Social Media Text
In this paper we present our approach for detecting signs of depression from social media text.
From meaning to perception -- exploring the space between word and odor perception embeddings
In this paper we propose the use of the Word2vec algorithm in order to obtain odor perception embeddings (or smell embeddings), only using publicly available perfume descriptions.
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