Clickbait detection in news headlines using RoBERTa-Large language model and deep embeddings. [PDF]
Sci RepAlarfaj FK, Muqadas A, Khan HU, Naz A.
europepmc +1 more source
AttBiLSTM_DE: enhancing anticancer peptide prediction using word embedding and an optimized attention-based BiLSTM framework. [PDF]
Sci RepJuthy MJN +5 more
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Thirty years of public speaking anxiety research: topic modeling and semantic trend forecasting using LDA-Word2Vec integration. [PDF]
Front Hum NeurosciLin M, Sun Y, Chen L.
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Optimizing clustering of CDR3 sequences using natural language processing, Word2Vec, and KMeans. [PDF]
Front BioinformBaranwal S +4 more
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Word2vec embeddings for playlist recommendation
, 2018 [en] We present an ML approach to musical playlist recommendation. Using the algorithm Word2Vec, a shallow two-layer neural network trained to reconstruct linguistic context of words, we have created several embeddings using tracks and playlist titles as words of an artificial vocabulary. Some experiments with different trade-offs between the diversity
openaire +1 more source
Predict SARS-CoV-2 genome interactions based on RNA language models. [PDF]
Biosaf HealthShen W, Li Y, Zhu L, Huang T.
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Noncoding RNA family classification based on multifeature fusion and convolutional block attention residual network. [PDF]
Brief BioinformXu Q, Li F, Han G.
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GRUATT-AVP: leveraging a novel attention-based gated recurrent unit to advance the accuracy of antiviral peptide prediction. [PDF]
Sci RepAziz MT +6 more
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Urdu word2vec embeddings trained on OpenSubtitles
Grim, Philip, Buchanan, Erin
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Sentiment analysis with echo state network and augmented water cycle algorithm. [PDF]
Sci RepZhang L, Habibi A.
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