Papers Chinese Sentiment Analysis
“Chinese Sentiment Analysis” 태그가 달린 논문 11편 · 필터 해제
A Case Study of Chinese Sentiment Analysis on Social Media Reviews Based on LSTM
Network public opinion analysis is obtained by a combination of natural language processing (NLP) and public opinion supervision, and is crucial for monitoring public mood and trends. Therefore, network public opinion an…
Chinese Sentiment AnalysisSentiment AnalysisCPED: A Large-Scale Chinese Personalized and Emotional Dialogue Dataset for Conversational AI
Human language expression is based on the subjective construal of the situation instead of the objective truth conditions, which means that speakers' personalities and emotions after cognitive processing have an importan…
Chinese Sentiment AnalysisConversational Response GenerationDialog Act ClassificationDialogue Generation+7Transformer-Encoder-GRU (T-E-GRU) for Chinese Sentiment Analysis on Chinese Comment Text
Chinese sentiment analysis (CSA) has always been one of the challenges in natural language processing due to its complexity and uncertainty. Transformer has succeeded in capturing semantic features, but it uses position …
Chinese Sentiment AnalysisPositionSentenceSentence segmentation+1COVID-19 Public Opinion and Emotion Monitoring System Based on Time Series Thermal New Word Mining
With the spread and development of new epidemics, it is of great reference value to identify the changing trends of epidemics in public emotions. We designed and implemented the COVID-19 public opinion monitoring system …
Chinese Sentiment AnalysisData VisualizationSentiment AnalysisTime Series+1Fine-grained Sentiment Classification using BERT
Sentiment classification is an important process in understanding people's perception towards a product, service, or topic. Many natural language processing models have been proposed to solve the sentiment classification…
Chinese Sentiment AnalysisClassificationGeneral ClassificationSentiment Analysis+2ERNIE 2.0: A Continual Pre-training Framework for Language Understanding
Recently, pre-trained models have achieved state-of-the-art results in various language understanding tasks, which indicates that pre-training on large-scale corpora may play a crucial role in natural language processing…
Chinese Named Entity RecognitionChinese Reading ComprehensionChinese Sentence Pair ClassificationChinese Sentiment Analysis+8ERNIE: Enhanced Representation through Knowledge Integration
We present a novel language representation model enhanced by knowledge called ERNIE (Enhanced Representation through kNowledge IntEgration). Inspired by the masking strategy of BERT, ERNIE is designed to learn language r…
Chinese Named Entity RecognitionChinese Sentence Pair ClassificationChinese Sentiment AnalysisCloze Test+7Phonetic-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. We are the first to argue that these two important properties can…
Chinese Sentiment Analysisreinforcement-learningReinforcement LearningReinforcement Learning (RL)+1Exploiting Effective Representations for Chinese Sentiment Analysis Using a Multi-Channel Convolutional Neural Network
Effective representation of a text is critical for various natural language processing tasks. For the particular task of Chinese sentiment analysis, it is important to understand and choose an effective representation of…
Chinese Sentiment AnalysisSentiment AnalysisChinese Textual Sentiment Analysis: Datasets, Resources and Tools
The rapid accumulation of data in social media (in million and billion scales) has imposed great challenges in information extraction, knowledge discovery, and data mining, and texts bearing sentiment and opinions are on…
Chinese Sentiment AnalysisManagementPart-Of-Speech TaggingSentiment Analysis