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Sentiment Analysis with Word Embedding
2018 IEEE 7th International Conference on Adaptive Science & Technology (ICAST), 2018The basic task of sentiment analysis is to determine the sentiment polarity (positivity, neutrality or negativity) of a piece text. The traditional bag-of-words models deficiencies affect the accuracy of sentiment classifications. The purpose of this study is to improve the accuracy of the sentiment classification by employing the concept of word ...
B. Oscar Deho +3 more
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2022
Musical Word Embedding for Music Tagging and Retrieval IEEE Transactions on Audio, Speech and Language Processing (submitted) - SeungHeon Doh, Jongpil Lee, Dasaem Jeong, Juhan NamDEMO: https://seungheondoh.github.io/musical_word_embedding_demo/ Word embedding has become an essential means for text-based information retrieval.
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Musical Word Embedding for Music Tagging and Retrieval IEEE Transactions on Audio, Speech and Language Processing (submitted) - SeungHeon Doh, Jongpil Lee, Dasaem Jeong, Juhan NamDEMO: https://seungheondoh.github.io/musical_word_embedding_demo/ Word embedding has become an essential means for text-based information retrieval.
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Word Embeddings are Word Story Embeddings (and That's Fine)
2022Katrin Erk, Gabriella Chronis
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Learnable latent embeddings for joint behavioural and neural analysis
Nature, 2023Mackenzie Mathis
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Unsupervised word embeddings capture latent knowledge from materials science literature
Nature, 2019Vahe Tshitoyan +2 more
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