Bilingual Sentiment Embeddings: Joint Projection of Sentiment Across Languages论文笔记
Bilingual Sentiment Embeddings论文笔记 前言 模型 Cross-lingual Projection Sentiment Classification Joint Learning Target-language Classification 前言 这篇文章主要是为了做跨语言的情感分析，提出了一种embedding的方法。 核心思想就是将两种不同的语言映射到同一个向量
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- 1. [论文] Bilingual Sentiment Embeddings: Joint Projection of Sentiment Across Languages
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相关文章
- 1. [论文] Bilingual Sentiment Embeddings: Joint Projection of Sentiment Across Languages
- 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. 【论文阅读笔记】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》阅读笔记
- 6. Deep Convolutional Neural Networks for Sentiment Analysis of Short Texts
- 7. 2017acl---Active Sentiment Domain Adaptation笔记
- 8. SentiLR:Linguistic Knowledge Enhanced Language Representation for Sentiment Analysis 论文阅读笔记
- 9. acl2018---Aspect Based Sentiment Analysis with Gated Convolutional Networks论文阅读笔记
- 10. LSTM Networks for Sentiment