Bilingual Sentiment Embeddings: Joint Projection of Sentiment Across Languages論文筆記
Bilingual Sentiment Embeddings論文筆記 前言 模型 Cross-lingual Projection Sentiment Classification Joint Learning Target-language Classification 前言 這篇文章主要是爲了做跨語言的情感分析，提出了一種embedding的方法。 核心思想就是將兩種不同的語言映射到同一個向量
相關文章
- 1. [論文] Bilingual Sentiment Embeddings: Joint Projection of Sentiment Across Languages
- 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. 【論文閱讀筆記】Modeling Sentiment Dependencies with Graph Convolutional Networks for Aspect-level Sentiment
- 5. 《A Joint Model of Term Exaction and Polarity Classification for Aspect-based Sentiment Analysis》閱讀筆記
- 6. Deep Convolutional Neural Networks for Sentiment Analysis of Short Texts
- 7. 2017acl---Active Sentiment Domain Adaptation筆記
- 8. SentiLR:Linguistic Knowledge Enhanced Language Representation for Sentiment Analysis 論文閱讀筆記
- 9. acl2018---Aspect Based Sentiment Analysis with Gated Convolutional Networks論文閱讀筆記
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相關文章
- 1. [論文] Bilingual Sentiment Embeddings: Joint Projection of Sentiment Across Languages
- 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. 【論文閱讀筆記】Modeling Sentiment Dependencies with Graph Convolutional Networks for Aspect-level Sentiment
- 5. 《A Joint Model of Term Exaction and Polarity Classification for Aspect-based Sentiment Analysis》閱讀筆記
- 6. Deep Convolutional Neural Networks for Sentiment Analysis of Short Texts
- 7. 2017acl---Active Sentiment Domain Adaptation筆記
- 8. SentiLR:Linguistic Knowledge Enhanced Language Representation for Sentiment Analysis 論文閱讀筆記
- 9. acl2018---Aspect Based Sentiment Analysis with Gated Convolutional Networks論文閱讀筆記
- 10. LSTM Networks for Sentiment