In this paper, we propose a weakly-supervised approach for aspect-based sentiment analysis, which uses only a few keywords describing each aspect/sentiment ...

Oct 13, 2020 · In this paper, we propose a weakly-supervised approach for aspect-based sentiment analysis, which uses only a few keywords describing each aspect/sentiment ...

The code and data used for our EMNLP paper Weakly-Supervised Aspect-Based Sentiment Analysis via Joint Aspect-Sentiment Topic Embedding.

This is accomplished by training topic embeddings and word embeddings on in-domain corpora and modeling the joint distribution of user- given keywords on all ...

To address this, Huang et al. (2020) proposed a weakly-supervised approach that can learn a joint aspect-sentiment topic embedding. ...

A weakly-supervised approach for aspect-based sentiment analysis, which uses only a few keywords describing each aspect/sentiment without using any labeled ...

In this paper, we focus on aspect extraction sub-task. We propose three weakly-supervised systems based on contextual language models and topic modeling.

Topic sentiment joint model aims to deal with the problem about the mixture of topics and sentiment simultaneously from online reviews.

This paper proposes a novel model for the multi-topic sentiment analysis named the weakly-supervised graph-based joint sentiment topic model (W-GJST).

在本文中，我们提出了一种基于方面的情感分析的弱监督方法，该方法仅使用几个关键字来描述每个方面/情感，而不使用任何标记示例。现有方法要么仅针对其中一个 ...