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TDAM: a Topic-Dependent Attention Model for Sentiment Analysis

TDAM: a Topic-Dependent Attention Model for Sentiment Analysis

18 August 2019
Gabriele Pergola
Lin Gui
Yulan He
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Papers citing "TDAM: a Topic-Dependent Attention Model for Sentiment Analysis"

4 / 4 papers shown
Title
FATRER: Full-Attention Topic Regularizer for Accurate and Robust
  Conversational Emotion Recognition
FATRER: Full-Attention Topic Regularizer for Accurate and Robust Conversational Emotion Recognition
Yuzhao Mao
Di Lu
Xiaojie Wang
Yang Zhang
32
1
0
23 Jul 2023
TAN-NTM: Topic Attention Networks for Neural Topic Modeling
TAN-NTM: Topic Attention Networks for Neural Topic Modeling
Madhur Panwar
Shashank Shailabh
Milan Aggarwal
Balaji Krishnamurthy
23
24
0
02 Dec 2020
Hierarchical Interaction Networks with Rethinking Mechanism for
  Document-level Sentiment Analysis
Hierarchical Interaction Networks with Rethinking Mechanism for Document-level Sentiment Analysis
Lingwei Wei
Dou Hu
Wei Zhou
Xuehai Tang
Xiaodan Zhang
Xin Wang
Jizhong Han
Songlin Hu
38
11
0
16 Jul 2020
Effective Approaches to Attention-based Neural Machine Translation
Effective Approaches to Attention-based Neural Machine Translation
Thang Luong
Hieu H. Pham
Christopher D. Manning
220
7,930
0
17 Aug 2015
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