Bayesian estimation‐based sentiment word embedding model for sentiment analysis
Sentiment word embedding has been extensively studied and used in sentiment analysis
tasks. However, most existing models have failed to differentiate high‐frequency and low …
tasks. However, most existing models have failed to differentiate high‐frequency and low …
Bayesian estimation‐based sentiment word embedding model for sentiment analysis
J Tang, Y Xue, Z Wang, S Hu, T Gong, Y Chen… - CAAI Transactions on …, 2021 - IET
AbstractSentiment word embedding has been extensively studied and used in sentiment
analysis tasks. However, most existing models have failed to differentiate high‐frequency …
analysis tasks. However, most existing models have failed to differentiate high‐frequency …
[PDF][PDF] Bayesian estimation‐based sentiment word embedding model for sentiment analysis
J Tang, Y Xue, Z Wang, S Hu, T Gong, Y Chen, H Zhao… - 2021 - pdfs.semanticscholar.org
Sentiment word embedding has been extensively studied and used in sentiment analysis
tasks. However, most existing models have failed to differentiate high‐frequency and low …
tasks. However, most existing models have failed to differentiate high‐frequency and low …
[PDF][PDF] Bayesian estimation‐based sentiment word embedding model for sentiment analysis
J Tang, Y Xue, Z Wang, S Hu, T Gong, Y Chen, H Zhao… - 2021 - scholar.archive.org
Sentiment word embedding has been extensively studied and used in sentiment analysis
tasks. However, most existing models have failed to differentiate high‐frequency and low …
tasks. However, most existing models have failed to differentiate high‐frequency and low …
Bayesian estimation‐based sentiment word embedding model for sentiment analysis
J Tang, Y Xue, Z Wang, S Hu, T Gong, Y Chen… - CAAI Transactions on …, 2022 - dl.acm.org
Sentiment word embedding has been extensively studied and used in sentiment analysis
tasks. However, most existing models have failed to differentiate high‐frequency and low …
tasks. However, most existing models have failed to differentiate high‐frequency and low …