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A Novel Sentiment Polarity Detection Framework for Chinese

https://doi.org/10.1109/taffc.2019.2932061

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

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Joint model for subsentence‐level sentiment analysis with M arkov logic

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CSenticNet: A Concept-Level Resource for Sentiment Analysis in Chinese Language

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Constructing Chinese Sentiment Lexicon Using Bilingual Information

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Sentiment Analysis Based on Evaluation of Tourist Attractions

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Cross-domain aspect/sentiment-aware abstractive review summarization by combining topic modeling and deep reinforcement learning

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$$\varvec{\textit{KDVEM}}$$ KDVEM : a $$k$$ k -degree anonymity with vertex and edge modification algorithm

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Encoding syntactic representations with a neural network for sentiment collocation extraction

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A Review of Sentiment Analysis Research in Chinese Language

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Exploiting social and local contexts propagation for inducing Chinese microblog-specific sentiment lexicons

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Machine learning-based multi-documents sentiment-oriented summarization using linguistic treatment

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Vector representations of multi-word terms for semantic relatedness

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Identifying the semantic orientation of terms using S-HAL for sentiment analysis

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Multi-aspect sentiment analysis for Chinese online social reviews based on topic modeling and HowNet lexicon

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Combine HowNet lexicon to train phrase recursive autoencoder for sentence-level sentiment analysis

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Graph classification based on graph set reconstruction and graph kernel feature reduction

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Research on the Construction of Sentiment Lexicon Based on Chinese Microblog

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Sentiment Analysis Using Sentiment Features

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A Fuzzy Computing Model for Identifying Polarity of Chinese Sentiment Words

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10.1162/153244303768966139

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Recognizing Contextual Polarity: An Exploration of Features for Phrase-Level Sentiment Analysis

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Cross-lingual Sentiment Lexicon Learning With Bilingual Word Graph Label Propagation

inferredcites →https://doi.org/10.1371/journal.pone.0124672openalex-snapshot

A Global Optimization Approach to Multi-Polarity Sentiment Analysis

inferredcites →https://doi.org/10.1609/aaai.v32i1.11559openalex-snapshot

SenticNet 5: Discovering Conceptual Primitives for Sentiment Analysis by Means of Context Embeddings

inferredcites →https://doi.org/10.1609/aaai.v32i1.11982openalex-snapshot

Chinese LIWC Lexicon Expansion via Hierarchical Classification of Word Embeddings with Sememe Attention

inferredcites →https://doi.org/10.18653/v1/w15-3111openalex-snapshot

A Joint Model for Chinese Microblog Sentiment Analysis

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An combined sentiment classification system for SIGHAN-8

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Sentiment Analysis and Opinion Mining

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Using bilingual knowledge and ensemble techniques for unsupervised Chinese sentiment analysis

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Learning Sentiment-Specific Word Embedding for Twitter Sentiment Classification

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Research on Building a Chinese Sentiment Lexicon Based on SO-PMI

inferredcites →https://doi.org/10.4304/jcp.8.4.878-883openalex-snapshot

Combining Domain-Specific Sentiment Lexicon with Hownet for Chinese Sentiment Analysis

inferredcites →https://doi.org/10.48550/arxiv.1409.0473openalex-snapshot

Neural Machine Translation by Jointly Learning to Align and Translate

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