[論文] Bilingual Sentiment Embeddings: Joint Projection of Sentiment Across Languages
Bilingual Sentiment Embeddings: Joint Projection of Sentiment Across Languages 摘要： 低資源語言中的情感分析缺乏註釋的語料庫 解決方法： 機器翻譯 雙語詞嵌入 缺點： 大量的並行數據 不能很好地捕獲情緒信息 提出： Bilingual Sentiment Embeddings (BLSE)雙語情感嵌入 條件： a
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相關文章
- 1. Bilingual Sentiment Embeddings: Joint Projection of Sentiment Across Languages論文筆記
- 2. JST ：Joint sentiment topic model & ASUM ：Aspect sentiment unification model
- 3. 論文筆記（NLP）——Sentiment Classification using Document Embeddings trained with Cosine Similarity
- 4. Deep Convolutional Neural Networks for Sentiment Analysis of Short Texts
- 5. 論文閱讀《ASSESSMENT OF FEATURE SELECTION METRICS FOR SENTIMENT ANALYSES: TURKISH MOVIE REVIEWS》
- 6. LSTM Networks for Sentiment
- 7. [論文] Aspect Based Sentiment Analysis with Gated Convolutional Networks
- 8. Sentiment After The Poetry Class
- 9. [論文]Attention-based LSTM for Aspect-level Sentiment Classificatio
- 10. Sentiment Analysis resources