A review of sentiment analysis research in Chinese language
Research on sentiment analysis in English language has undergone major developments in
recent years. Chinese sentiment analysis research, however, has not evolved significantly …
recent years. Chinese sentiment analysis research, however, has not evolved significantly …
Recent trends in deep learning based natural language processing
Deep learning methods employ multiple processing layers to learn hierarchical
representations of data, and have produced state-of-the-art results in many domains …
representations of data, and have produced state-of-the-art results in many domains …
Deep multimodal representation learning: A survey
W Guo, J Wang, S Wang - Ieee Access, 2019 - ieeexplore.ieee.org
Multimodal representation learning, which aims to narrow the heterogeneity gap among
different modalities, plays an indispensable role in the utilization of ubiquitous multimodal …
different modalities, plays an indispensable role in the utilization of ubiquitous multimodal …
[HTML][HTML] Chinese clinical named entity recognition with variant neural structures based on BERT methods
Abstract Clinical Named Entity Recognition (CNER) is a critical task which aims to identify
and classify clinical terms in electronic medical records. In recent years, deep neural …
and classify clinical terms in electronic medical records. In recent years, deep neural …
Learning multi-grained aspect target sequence for Chinese sentiment analysis
Aspect-based sentiment analysis aims at identifying sentiment polarity towards aspect
targets in a sentence. Previously, the task was modeled as a sentence-level sentiment …
targets in a sentence. Previously, the task was modeled as a sentence-level sentiment …
Aspect-based sentiment analysis with gated alternate neural network
N Liu, B Shen - Knowledge-Based Systems, 2020 - Elsevier
Aspect-based sentiment analysis (ABSA) is a type of fine-grained sentiment analysis.
Previous work in ABSA is mostly based on recurrent neural networks (RNNs). However …
Previous work in ABSA is mostly based on recurrent neural networks (RNNs). However …
Scalable multi-channel dilated CNN–BiLSTM model with attention mechanism for Chinese textual sentiment analysis
C Gan, Q Feng, Z Zhang - Future Generation Computer Systems, 2021 - Elsevier
Due to the complex semantics of natural language, the multi-sentiment polarity of words, and
the long-dependence of sentiments between words, the existing sentiment analysis methods …
the long-dependence of sentiments between words, the existing sentiment analysis methods …
A radical-aware attention-based model for chinese text classification
Recent years, Chinese text classification has attracted more and more research attention.
However, most existing techniques which specifically aim at English materials may lose …
However, most existing techniques which specifically aim at English materials may lose …
Phonetic-enriched text representation for Chinese sentiment analysis with reinforcement learning
The Chinese pronunciation system offers two characteristics that distinguish it from other
languages: deep phonemic orthography and intonation variations. In this paper, we …
languages: deep phonemic orthography and intonation variations. In this paper, we …
Research on Named Entity Recognition of Electronic Medical Records Based on RoBERTa and Radical‐Level Feature
Y Wu, J Huang, C Xu, H Zheng… - … and Mobile Computing, 2021 - Wiley Online Library
Clinical named entity recognition (CNER) identifies entities from unstructured medical
records and classifies them into predefined categories. It is of great significance for follow …
records and classifies them into predefined categories. It is of great significance for follow …