[论文] Bilingual Sentiment Embeddings: Joint Projection of Sentiment Across Languages
Bilingual Sentiment Embeddings: Joint Projection of Sentiment Across Languages 摘要： 低资源语言中的情感分析缺乏注释的语料库 解决方法： 机器翻译 双语词嵌入 缺点： 大量的并行数据 不能很好地捕获情绪信息 提出： Bilingual Sentiment Embeddings (BLSE)双语情感嵌入 条件： a
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相关文章
- 1. Bilingual Sentiment Embeddings: Joint Projection of Sentiment Across Languages论文笔记
- 2. JST ：Joint sentiment topic model & ASUM ：Aspect sentiment unification model
- 3. 论文笔记（NLP）——Sentiment Classification using Document Embeddings trained with Cosine Similarity
- 4. Deep Convolutional Neural Networks for Sentiment Analysis of Short Texts
- 5. 论文阅读《ASSESSMENT OF FEATURE SELECTION METRICS FOR SENTIMENT ANALYSES: TURKISH MOVIE REVIEWS》
- 6. LSTM Networks for Sentiment
- 7. [论文] Aspect Based Sentiment Analysis with Gated Convolutional Networks
- 8. Sentiment After The Poetry Class
- 9. [论文]Attention-based LSTM for Aspect-level Sentiment Classificatio
- 10. Sentiment Analysis resources