Hierarchical human-like strategy for aspect-level sentiment classification with sentiment linguistic knowledge and reinforcement learning.

08:00 EDT 3rd June 2019 | BioPortfolio

Summary of "Hierarchical human-like strategy for aspect-level sentiment classification with sentiment linguistic knowledge and reinforcement learning."

Aspect-level sentiment analysis is a crucial problem in fine-grained sentiment analysis, which aims to automatically predict the sentiment polarity of the specific aspect in its context. Although remarkable progress has been made by deep learning based methods, aspect-level sentiment classification in real-world remains a challenging task. The human reading cognition is rarely explored in sentiment classification, which however is able to improve the effectiveness of the sentiment classification by considering the process of reading comprehension and logical thinking. Motivated by the process of the human reading cognition that follows a hierarchical routine, we propose a novel Hierarchical Human-like strategy for Aspect-level Sentiment classification (HHAS). The model contains three major components, a sentiment-aware mutual attention module, an aspect-specific knowledge distillation module, and a reinforcement learning based re-reading module, which are consistent with the stages of the human reading cognitive process (i.e., pre-reading, active reading, and post-reading). To measure the effectiveness of HHAS, extensive experiments are conducted on three widely used datasets. Experimental results demonstrate that HHAS achieves impressive results and yields state-of-the-art results on the three datasets.


Journal Details

This article was published in the following journal.

Name: Neural networks : the official journal of the International Neural Network Society
ISSN: 1879-2782
Pages: 240-248


DeepDyve research library

PubMed Articles [23452 Associated PubMed Articles listed on BioPortfolio]

Machine learning based hierarchical classification of frontotemporal dementia and Alzheimer's disease.

In a clinical setting, an individual subject classification model rather than a group analysis would be more informative. Specifically, the subtlety of cortical atrophy in some frontotemporal dementia...

SeqSleepNet: End-to-End Hierarchical Recurrent Neural Network for Sequence-to-Sequence Automatic Sleep Staging.

Automatic sleep staging has been often treated as a simple classification problem that aims at determining the label of individual target polysomnography (PSG) epochs one at a time. In this work, we t...

SS-HCNN: Semi-Supervised Hierarchical Convolutional Neural Network for Image Classification.

The availability of large-scale annotated data and uneven separability of different data categories become two major impediments of deep learning for image classification. In this paper, we present a ...

Feature engineering for sentiment analysis in e-health forums.

Exploiting information in health-related social media services is of great interest for patients, researchers and medical companies. The challenge is, however, to provide easy, quick and relevant acce...

FuncTree2: an interactive radial tree for functional hierarchies and omics data visualization.

Functional annotations and their hierarchical classification are widely used in omics workflows to build novel insight upon existing biological knowledge. Currently, a plethora of tools is available t...

Clinical Trials [8119 Associated Clinical Trials listed on BioPortfolio]

Using the Hierarchical Cluster Method for Foot Deformities

The aim of this study is to analyze all of the variables with a Hierarchical Cluster Analysis of Multivariate Statistical Methods to obtain more sensitive results, and also to add a new di...

Low-level Light Therapy on Treatment of Venous Ulcers Assesed by Nursing Outcome Classification (NOC)

This study compares the effect of adjuvant treatment of Low-level Light Therapy with conventional treatment in the tissue repair of venous ulcers in patients undergoing outpatient nursing ...

Relationship Between Computed Tomography Manifestation and Histopathological Classification of Thymic Epithelial Tumors

the World Health Organization (WHO) has proposed a classification of histopathological thymic tumor and it significance in prognosis. Chest computed tomography (CT) is the most common meth...

First-In-Human PainCart Study for STR-324

This is an interventional, first-in-man study, double-blind, placebo-controlled, two-part, ascending doses study to investigate the safety, tolerability and efficacy of STR-324 infusions i...

Validation of a Universal Cataract Intelligence Platform

This study established and validated a universal artificial intelligence (AI) platform for collaborative management of cataracts involving multi-level clinical scenarios and explored an AI...

Medical and Biotech [MESH] Definitions

The internal lateral ligament that travels from the medial aspect of the ELBOW uniting the distal aspect of the HUMERUS to the proximal aspect of the ULNA.

A specific pair of human chromosomes in group A (CHROMOSOMES, HUMAN, 1-3) of the human chromosome classification.

A specific pair of human chromosomes in group A (CHROMOSOMES, HUMAN, 1-3) of the human chromosome classification.

A specific pair of human chromosomes in group A (CHROMOSOMES, HUMAN, 1-3) of the human chromosome classification.

A specific pair GROUP C CHROMSOMES of the human chromosome classification.

Quick Search


DeepDyve research library

Relevant Topic

Antiretroviral therapy
Standard antiretroviral therapy (ART) consists of the combination of at least three antiretroviral (ARV) drugs to maximally suppress the HIV virus and stop the progression of HIV disease. Huge reductions have been seen in rates of death and suffering whe...

Searches Linking to this Article