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Learning Bilingual Sentiment Word Embeddings for Cross-language Sentiment Classification

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What this work says

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

inferredcites →https://doi.org/10.1007/978-3-642-41644-6_10openalex-snapshot

A Mixed Model for Cross Lingual Opinion Analysis

inferredcites →https://doi.org/10.1007/978-3-642-41644-6_22openalex-snapshot

Active Learning for Cross-Lingual Sentiment Classification

inferredcites →https://doi.org/10.1007/978-3-662-45924-9_13openalex-snapshot

Bridging the Language Gap: Learning Distributed Semantics for Cross-Lingual Sentiment Classification

inferredcites →https://doi.org/10.1007/978-3-662-45924-9_16openalex-snapshot

Word Vector Modeling for Sentiment Analysis of Product Reviews

inferredcites →https://doi.org/10.1007/978-3-662-45924-9_17openalex-snapshot

Cross-Lingual Sentiment Classification Based on Denoising Autoencoder

inferredcites →https://doi.org/10.1109/tpami.2013.50openalex-snapshot

Representation Learning: A Review and New Perspectives

inferredcites →https://doi.org/10.1109/wi-iat.2014.90openalex-snapshot

Learning Bilingual Embedding Model for Cross-Language Sentiment Classification

inferredcites →https://doi.org/10.1111/j.1467-8640.2006.00277.xopenalex-snapshot

SENTIMENT CLASSIFICATION of MOVIE REVIEWS USING CONTEXTUAL VALENCE SHIFTERS

inferredcites →https://doi.org/10.1126/science.1127647openalex-snapshot

Reducing the Dimensionality of Data with Neural Networks

inferredcites →https://doi.org/10.1145/1390156.1390294openalex-snapshot

Extracting and composing robust features with denoising autoencoders

inferredcites →https://doi.org/10.1145/2063576.2063635openalex-snapshot

Sentiment classification based on supervised latent n-gram analysis

inferredcites →https://doi.org/10.17877/de290r-14262openalex-snapshot

Making Large-Scale SVM Learning Practical

inferredcites →https://doi.org/10.18653/v1/d13-1141openalex-snapshot

Bilingual Word Embeddings for Phrase-Based Machine Translation

inferredcites →https://doi.org/10.3115/1118693.1118704openalex-snapshot

Thumbs up?

inferredcites →https://doi.org/10.3115/1119250.1119280openalex-snapshot

HHMM-based Chinese lexical analyzer ICTCLAS

inferredcites →https://doi.org/10.3115/1218955.1218990openalex-snapshot

A sentimental education

inferredcites →https://doi.org/10.3115/1613715.1613734openalex-snapshot

Multilingual subjectivity analysis using machine translation

inferredcites →https://doi.org/10.3115/1687878.1687913openalex-snapshot

Co-training for cross-lingual sentiment classification

inferredcites →https://doi.org/10.3115/v1/p14-1146openalex-snapshot

Learning Sentiment-Specific Word Embedding for Twitter Sentiment Classification

inferredcites →https://doi.org/10.3115/v1/p14-2139openalex-snapshot

Cross-lingual Opinion Analysis via Negative Transfer Detection

inferredcites →https://doi.org/10.48550/arxiv.1402.1454openalex-snapshot

An Autoencoder Approach to Learning Bilingual Word Representations

inferredcites →https://doi.org/10.48550/arxiv.cs/0205070openalex-snapshot

Thumbs up? Sentiment Classification using Machine Learning Techniques

inferredcites →https://doi.org/10.48550/arxiv.cs/0409058openalex-snapshot

A Sentimental Education: Sentiment Analysis Using Subjectivity Summarization Based on Minimum Cuts

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A neural probabilistic language model

inferredcites →https://doi.org/10.7551/mitpress/7503.003.0024openalex-snapshot

Greedy Layer-Wise Training of Deep Networks

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Stacked denoising autoencoders for sentiment analysis: a review

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Deep learning for sentiment analysis: A survey

inferred← citeshttps://doi.org/10.1007/978-3-030-00563-4_58openalex-snapshot

Exploiting Deep Learning for Persian Sentiment Analysis

inferred← citeshttps://doi.org/10.1007/978-3-030-01298-4_29openalex-snapshot

Emotion Analysis for the Upcoming Response in Open-Domain Human-Computer Conversation

inferred← citeshttps://doi.org/10.1007/978-3-030-80599-9_32openalex-snapshot

Comparing MultiLingual and Multiple MonoLingual Models for Intent Classification and Slot Filling

inferred← citeshttps://doi.org/10.1007/978-3-031-16270-1_11openalex-snapshot

Linear Transformations for Cross-lingual Sentiment Analysis

inferred← citeshttps://doi.org/10.1007/978-3-031-24340-0_20openalex-snapshot

Comparative Analyses of Multilingual Sentiment Analysis Systems for News and Social Media

inferred← citeshttps://doi.org/10.1007/978-3-031-24340-0_44openalex-snapshot

Adversarial Training Based Cross-Lingual Emotion Cause Extraction

inferred← citeshttps://doi.org/10.1007/978-3-031-93712-5_16openalex-snapshot

AliceBot: Designing AI-Driven Applications for Mental Health Management

inferred← citeshttps://doi.org/10.1007/978-3-319-56608-5_5openalex-snapshot

Cross-Lingual Sentiment Relation Capturing for Cross-Lingual Sentiment Analysis

inferred← citeshttps://doi.org/10.1007/978-3-319-62416-7_29openalex-snapshot

You Are What You Tweet: A New Hybrid Model for Sentiment Analysis

inferred← citeshttps://doi.org/10.1007/978-3-319-63564-4_4openalex-snapshot

Joint Emoji Classification and Embedding Learning

inferred← citeshttps://doi.org/10.1007/978-3-319-68699-8_12openalex-snapshot

Jointly Learning Bilingual Sentiment and Semantic Representations for Cross-Language Sentiment Classification

inferred← citeshttps://doi.org/10.1007/978-3-319-76941-7_20openalex-snapshot

On the Reproducibility and Generalisation of the Linear Transformation of Word Embeddings

inferred← citeshttps://doi.org/10.1007/978-3-319-99501-4_37openalex-snapshot

Ensemble of Neural Networks with Sentiment Words Translation for Code-Switching Emotion Detection

inferred← citeshttps://doi.org/10.1007/978-981-15-1216-2_1openalex-snapshot

Application of Deep Learning Approaches for Sentiment Analysis

inferred← citeshttps://doi.org/10.1007/978-981-15-5554-1_6openalex-snapshot

Opinion Analysis Corpora Across Languages

inferred← citeshttps://doi.org/10.1007/s10115-018-1166-1openalex-snapshot

Predicting hypernym–hyponym relations for Chinese taxonomy learning

inferred← citeshttps://doi.org/10.1007/s10462-022-10183-8openalex-snapshot

State of the art: a review of sentiment analysis based on sequential transfer learning

inferred← citeshttps://doi.org/10.1007/s10590-017-9202-6openalex-snapshot

Cross-lingual sentiment transfer with limited resources

inferred← citeshttps://doi.org/10.1007/s11063-017-9762-8openalex-snapshot

Exploring Implicit Semantic Constraints for Bilingual Word Embeddings

inferred← citeshttps://doi.org/10.1007/s11432-018-9941-6openalex-snapshot

Sentiment analysis using deep learning approaches: an overview

inferred← citeshttps://doi.org/10.1007/s12559-017-9470-8openalex-snapshot

A Review of Sentiment Analysis Research in Chinese Language

inferred← citeshttps://doi.org/10.1007/s41060-024-00522-zopenalex-snapshot

SeNSe: embedding alignment via semantic anchors selection

inferred← citeshttps://doi.org/10.1016/j.dcan.2021.10.003openalex-snapshot

A survey on deep learning for textual emotion analysis in social networks

inferred← citeshttps://doi.org/10.1016/j.eswa.2020.113765openalex-snapshot

Cross-lingual learning for text processing: A survey

inferred← citeshttps://doi.org/10.1016/j.inffus.2023.101847openalex-snapshot

Emotion recognition from unimodal to multimodal analysis: A review

inferred← citeshttps://doi.org/10.1016/j.ins.2017.09.070openalex-snapshot

A neural generative autoencoder for bilingual word embeddings

inferred← citeshttps://doi.org/10.1016/j.neucom.2023.02.015openalex-snapshot

Machine learning and deep learning for sentiment analysis across languages: A survey

inferred← citeshttps://doi.org/10.1017/9781108639286openalex-snapshot

Sentiment Analysis

inferred← citeshttps://doi.org/10.1017/9781108639286.001openalex-snapshot

Preface

inferred← citeshttps://doi.org/10.1017/9781108639286.002openalex-snapshot

Introduction

inferred← citeshttps://doi.org/10.1017/9781108639286.003openalex-snapshot

The Problem of Sentiment Analysis

inferred← citeshttps://doi.org/10.1017/9781108639286.004openalex-snapshot

Document Sentiment Classification

inferred← citeshttps://doi.org/10.1017/9781108639286.005openalex-snapshot

Sentence Subjectivity and Sentiment Classification

inferred← citeshttps://doi.org/10.1017/9781108639286.006openalex-snapshot

Aspect Sentiment Classification

inferred← citeshttps://doi.org/10.1017/9781108639286.007openalex-snapshot

Aspect and Entity Extraction

inferred← citeshttps://doi.org/10.1017/9781108639286.008openalex-snapshot

Sentiment Lexicon Generation

inferred← citeshttps://doi.org/10.1017/9781108639286.009openalex-snapshot

Analysis of Comparative Opinions

inferred← citeshttps://doi.org/10.1017/9781108639286.010openalex-snapshot

Opinion Summarization and Search

inferred← citeshttps://doi.org/10.1017/9781108639286.011openalex-snapshot

Analysis of Debates and Comments

inferred← citeshttps://doi.org/10.1017/9781108639286.012openalex-snapshot

Mining Intent

inferred← citeshttps://doi.org/10.1017/9781108639286.013openalex-snapshot

Detecting Fake or Deceptive Opinions

inferred← citeshttps://doi.org/10.1017/9781108639286.014openalex-snapshot

Quality of Reviews

inferred← citeshttps://doi.org/10.1017/9781108639286.015openalex-snapshot

Conclusion

inferred← citeshttps://doi.org/10.1017/9781108639286.016openalex-snapshot

Appendix

inferred← citeshttps://doi.org/10.1017/9781108639286.017openalex-snapshot

Bibliography

inferred← citeshttps://doi.org/10.1017/9781108639286.018openalex-snapshot

Index

inferred← citeshttps://doi.org/10.1017/cbo9781139084789.003openalex-snapshot

The Problem of Sentiment Analysis

inferred← citeshttps://doi.org/10.1017/cbo9781139084789.004openalex-snapshot

Document Sentiment Classification

inferred← citeshttps://doi.org/10.1017/cbo9781139084789.005openalex-snapshot

Sentence Subjectivity and Sentiment Classification

inferred← citeshttps://doi.org/10.1017/cbo9781139084789.006openalex-snapshot

Aspect Sentiment Classification

inferred← citeshttps://doi.org/10.1017/cbo9781139084789.007openalex-snapshot

Aspect and Entity Extraction

inferred← citeshttps://doi.org/10.1017/cbo9781139084789.008openalex-snapshot

Sentiment Lexicon Generation

inferred← citeshttps://doi.org/10.1017/cbo9781139084789.009openalex-snapshot

Analysis of Comparative Opinions

inferred← citeshttps://doi.org/10.1017/cbo9781139084789.010openalex-snapshot

Opinion Summarization and Search

inferred← citeshttps://doi.org/10.1017/cbo9781139084789.011openalex-snapshot

Analysis of Debates and Comments

inferred← citeshttps://doi.org/10.1017/cbo9781139084789.013openalex-snapshot

Detecting Fake or Deceptive Opinions

inferred← citeshttps://doi.org/10.1017/cbo9781139084789.014openalex-snapshot

Quality of Reviews

inferred← citeshttps://doi.org/10.1109/access.2020.2992013openalex-snapshot

Deep Learning-Based Sentiment Classification: A Comparative Survey

inferred← citeshttps://doi.org/10.1109/dsaa61799.2024.10722820openalex-snapshot

Alignment of Multilingual Embeddings to Estimate Job Similarities in Online Labour Market

inferred← citeshttps://doi.org/10.1109/icbda51983.2021.9402992openalex-snapshot

Incremental Real-time Learning Framework for Sentiment Classification: Indian General Election 2019, A Case Study

inferred← citeshttps://doi.org/10.1109/iccit64611.2024.11022404openalex-snapshot

A Cross-Language Analysis on Sarcasm Detection

inferred← citeshttps://doi.org/10.1109/ijcnn.2016.7727604openalex-snapshot

Three Convolutional Neural Network-based models for learning Sentiment Word Vectors towards sentiment analysis

inferred← citeshttps://doi.org/10.1109/ijcnn.2017.7966145openalex-snapshot

A character-based convolutional neural network for language-agnostic Twitter sentiment analysis

inferred← citeshttps://doi.org/10.1109/isci50694.2020.00020openalex-snapshot

A Survey of Emotion Analysis in Text Based on Deep Learning

inferred← citeshttps://doi.org/10.1109/tcyb.2021.3051005openalex-snapshot

Cross-Lingual Knowledge Transferring by Structural Correspondence and Space Transfer

inferred← citeshttps://doi.org/10.1109/tnnls.2020.2979225openalex-snapshot

Coarse Alignment of Topic and Sentiment: A Unified Model for Cross-Lingual Sentiment Classification

inferred← citeshttps://doi.org/10.1145/2911451.2911490openalex-snapshot

Retracted May 3, 2018: Transfer Learning for Cross-Lingual Sentiment Classification with Weakly Shared Deep Neural Networks

inferred← citeshttps://doi.org/10.1145/3110025.3110059openalex-snapshot

Transfer Learning for Multi-language Twitter Election Classification

inferred← citeshttps://doi.org/10.1145/3132847.3132915openalex-snapshot

Modeling Language Discrepancy for Cross-Lingual Sentiment Analysis

inferred← citeshttps://doi.org/10.1145/3645106openalex-snapshot

A Systematic Review of Cross-Lingual Sentiment Analysis: Tasks, Strategies, and Prospects

inferred← citeshttps://doi.org/10.1162/tacl_a_00257openalex-snapshot

Learning Multilingual Word Embeddings in Latent Metric Space: A Geometric Approach

inferred← citeshttps://doi.org/10.14232/phd.10218openalex-snapshot

Target-Level Sentiment Analysis on Various Genres

inferred← citeshttps://doi.org/10.1609/aaai.v31i1.11000openalex-snapshot

Structural Correspondence Learning for Cross-Lingual Sentiment Classification with One-to-Many Mappings

inferred← citeshttps://doi.org/10.1613/jair.1.11561openalex-snapshot

Embedding Projection for Targeted Cross-lingual Sentiment: Model Comparisons and a Real-World Study

inferred← citeshttps://doi.org/10.18653/v1/2020.emnlp-main.240openalex-snapshot

A Simple Approach to Learning Unsupervised Multilingual Embeddings

inferred← citeshttps://doi.org/10.18653/v1/2020.semeval-1.117openalex-snapshot

CS-Embed at SemEval-2020 Task 9: The Effectiveness of Code-switched Word Embeddings for Sentiment Analysis

inferred← citeshttps://doi.org/10.18653/v1/d16-1024openalex-snapshot

Attention-based LSTM Network for Cross-Lingual Sentiment Classification

inferred← citeshttps://doi.org/10.18653/v1/d17-1053openalex-snapshot

Towards a Universal Sentiment Classifier in Multiple languages

inferred← citeshttps://doi.org/10.18653/v1/d18-1401openalex-snapshot

Sentiment Classification towards Question-Answering with Hierarchical Matching Network

inferred← citeshttps://doi.org/10.18653/v1/k18-1016openalex-snapshot

Churn Intent Detection in Multilingual Chatbot Conversations and Social Media

inferred← citeshttps://doi.org/10.18653/v1/n16-1083openalex-snapshot

Bilingual Word Embeddings from Parallel and Non-parallel Corpora for Cross-Language Text Classification

inferred← citeshttps://doi.org/10.18653/v1/n19-1040openalex-snapshot

Learning Bilingual Sentiment-Specific Word Embeddings without Cross-lingual Supervision

inferred← citeshttps://doi.org/10.18653/v1/n19-1253openalex-snapshot

On Difficulties of Cross-Lingual Transfer with Order Differences: A Case Study on Dependency Parsing

inferred← citeshttps://doi.org/10.18653/v1/p16-1133openalex-snapshot

Cross-Lingual Sentiment Classification with Bilingual Document Representation Learning

inferred← citeshttps://doi.org/10.18653/v1/p17-1130openalex-snapshot

Cross-lingual Distillation for Text Classification

inferred← citeshttps://doi.org/10.18653/v1/p18-1075openalex-snapshot

Two Methods for Domain Adaptation of Bilingual Tasks: Delightfully Simple and Broadly Applicable

inferred← citeshttps://doi.org/10.18653/v1/p18-1231openalex-snapshot

Bilingual Sentiment Embeddings: Joint Projection of Sentiment Across Languages

inferred← citeshttps://doi.org/10.20944/preprints202508.0753.v1openalex-snapshot

A Review of Trends and Challenges in Adopting AI Models Through Cross-Lingual Transfer Learning Via Sentiment Analysis

inferred← citeshttps://doi.org/10.32657/10220/48173openalex-snapshot

Linguistic-inspired Chinese sentiment analysis : from characters to radicals and phonetics

inferred← citeshttps://doi.org/10.3390/app15073454openalex-snapshot

Heterogeneous Graph Neural Network with Multi-View Contrastive Learning for Cross-Lingual Text Classification

inferred← citeshttps://doi.org/10.3390/e27070713openalex-snapshot

Contrastive Learning Pre-Training and Quantum Theory for Cross-Lingual Aspect-Based Sentiment Analysis

inferred← citeshttps://doi.org/10.3390/info12080331openalex-snapshot

A Survey on Sentiment Analysis and Opinion Mining in Greek Social Media

inferred← citeshttps://doi.org/10.4018/ijwsr.338222openalex-snapshot

Predictive Analytics in Mental Health Leveraging LLM Embeddings and Machine Learning Models for Social Media Analysis

inferred← citeshttps://doi.org/10.48550/arxiv.1603.06270openalex-snapshot

Multi-Task Cross-Lingual Sequence Tagging from Scratch

inferred← citeshttps://doi.org/10.48550/arxiv.1707.01626openalex-snapshot

Cross-Lingual Sentiment Analysis Without (Good) Translation

inferred← citeshttps://doi.org/10.48550/arxiv.1806.02557openalex-snapshot

Emoji-Powered Representation Learning for Cross-Lingual Sentiment Classification

inferred← citeshttps://doi.org/10.48550/arxiv.1808.05077openalex-snapshot

Exploiting Deep Learning for Persian Sentiment Analysis

inferred← citeshttps://doi.org/10.48550/arxiv.1808.08432openalex-snapshot

Churn Intent Detection in Multilingual Chatbot Conversations and Social Media

inferred← citeshttps://doi.org/10.48550/arxiv.1811.00570openalex-snapshot

On Difficulties of Cross-Lingual Transfer with Order Differences: A Case Study on Dependency Parsing

inferred← citeshttps://doi.org/10.48550/arxiv.1903.09878openalex-snapshot

Expanding the Text Classification Toolbox with Cross-Lingual Embeddings

inferred← citeshttps://doi.org/10.7287/peerj-cs.469v0.1/reviews/1openalex-snapshot

Peer Review #1 of "Syntactic- and morphology-based text augmentation framework for Arabic sentiment analysis (v0.1)"

inferred← citeshttps://doi.org/10.7287/peerj-cs.469v0.1/reviews/2openalex-snapshot

Peer Review #2 of "Syntactic- and morphology-based text augmentation framework for Arabic sentiment analysis (v0.1)"

inferred← citeshttps://doi.org/10.7287/peerj-cs.469v0.2/reviews/1openalex-snapshot

Peer Review #1 of "Syntactic- and morphology-based text augmentation framework for Arabic sentiment analysis (v0.2)"

inferred← citeshttps://doi.org/10.7287/peerj-cs.469v0.2/reviews/2openalex-snapshot

Peer Review #2 of "Syntactic- and morphology-based text augmentation framework for Arabic sentiment analysis (v0.2)"

inferred← citeshttps://doi.org/10.7717/peerj-cs.469openalex-snapshot

Syntactic- and morphology-based text augmentation framework for Arabic sentiment analysis

inferred← citeshttps://doi.org/10.7916/d8-x3b7-1r92openalex-snapshot

Cross-Lingual and Low-Resource Sentiment Analysis

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