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Cross-lingual Opinion Analysis via Negative Transfer Detection

https://doi.org/10.3115/v1/p14-2139
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What this work says

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

inferredcites →https://doi.org/10.1007/11430919_71openalex-snapshot
SETRED: Self-training with Editing
inferredcites →https://doi.org/10.1007/3-540-45681-3_39openalex-snapshot
Separability Index in Supervised Learning
inferredcites →https://doi.org/10.1007/978-3-540-28647-9_60openalex-snapshot
Editing Training Data for kNN Classifiers with Neural Network Ensemble
inferredcites →https://doi.org/10.1007/978-3-642-03348-3_41openalex-snapshot
Transfer Learning with Data Edit
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/bf00116829openalex-snapshot
Learning From Noisy Examples
inferredcites →https://doi.org/10.1109/icdm.2004.10108openalex-snapshot
Cost-Guided Class Noise Handling for Effective Cost-Sensitive Learning
inferredcites →https://doi.org/10.1109/icdm.2012.32openalex-snapshot
Cross-Language Opinion Target Extraction in Review Texts
inferredcites →https://doi.org/10.1109/icdmw.2007.109openalex-snapshot
A Comparative Study of Methods for Transductive Transfer Learning
inferredcites →https://doi.org/10.1109/icdmw.2007.2openalex-snapshot
A Comparative Study of Methods for Transductive Transfer Learning
inferredcites →https://doi.org/10.1109/icnc.2008.725openalex-snapshot
Participatory Learning Based Semi-Supervised Classification
inferredcites →https://doi.org/10.1109/tkde.2009.191openalex-snapshot
A Survey on Transfer Learning
inferredcites →https://doi.org/10.1109/tsmcb.2011.2157998openalex-snapshot
CoTrade: Confident Co-Training With Data Editing
inferredcites →https://doi.org/10.1145/1390156.1390279openalex-snapshot
An RKHS for multi-view learning and manifold co-regularization
inferredcites →https://doi.org/10.3115/1119250.1119280openalex-snapshot
HHMM-based Chinese lexical analyzer ICTCLAS
inferredcites →https://doi.org/10.3115/1610075.1610094openalex-snapshot
Domain adaptation with structural correspondence learning
inferredcites →https://doi.org/10.3115/1687878.1687913openalex-snapshot
Co-training for cross-lingual sentiment classification
inferredcites →https://doi.org/10.3233/978-1-60750-606-5-1105openalex-snapshot
Advances in Class Noise Detection
inferredcites →https://doi.org/10.7551/mitpress/7503.003.0080openalex-snapshot
Correcting Sample Selection Bias by Unlabeled Data

What points at this work

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

inferred← citeshttps://doi.org/10.1007/978-3-319-25159-2_36openalex-snapshot
Improving Transfer Learning in Cross Lingual Opinion Analysis Through Negative Transfer Detection
inferred← citeshttps://doi.org/10.1007/978-3-319-47674-2_33openalex-snapshot
Towards Scalable Emotion Classification in Microblog Based on Noisy Training Data
inferred← citeshttps://doi.org/10.1007/978-3-319-50496-4_85openalex-snapshot
Overview of NLPCC Shared Task 4: Stance Detection in Chinese Microblogs
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/10.1007/978-3-319-77116-8_7openalex-snapshot
CSenticNet: A Concept-Level Resource for Sentiment Analysis in Chinese Language
inferred← citeshttps://doi.org/10.1007/s10462-020-09884-9openalex-snapshot
360 degree view of cross-domain opinion classification: a survey
inferred← citeshttps://doi.org/10.1007/s11227-023-05864-2openalex-snapshot
Multi-strategy text data augmentation for enhanced aspect-based sentiment analysis in resource-limited scenarios
inferred← citeshttps://doi.org/10.1007/s13042-016-0634-8openalex-snapshot
Negative transfer detection in transductive transfer learning
inferred← citeshttps://doi.org/10.1007/s13042-019-00969-8openalex-snapshot
Ensemble with estimation: seeking for optimization in class noisy data
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.2016.10.004openalex-snapshot
A review of natural language processing techniques for opinion mining systems
inferred← citeshttps://doi.org/10.1016/j.ipm.2017.01.004openalex-snapshot
Supervised sentiment analysis in multilingual environments
inferred← citeshttps://doi.org/10.1016/j.knosys.2016.11.014openalex-snapshot
Universal, unsupervised (rule-based), uncovered sentiment analysis
inferred← citeshttps://doi.org/10.1016/j.knosys.2017.02.030openalex-snapshot
Learning representations from heterogeneous network for sentiment classification of product reviews
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/10.1109/bigdataservice.2015.57openalex-snapshot
Semi-supervised Learning on Cross-Lingual Sentiment Analysis with Space Transfer
inferred← citeshttps://doi.org/10.1109/tcyb.2019.2891577openalex-snapshot
Softly Associative Transfer Learning for Cross-Domain Classification
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/10.1142/9789813223615_0010openalex-snapshot
Intersubjectivity and Sentiment: From Language to Knowledge
inferred← citeshttps://doi.org/10.1145/2806416.2806554openalex-snapshot
A Novel Class Noise Estimation Method and Application in 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/10.1145/3653299openalex-snapshot
Cross-Domain Aspect-Based Sentiment Classification with a Pre-Training and Fine-Tuning Strategy for Low-Resource Domains
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/10.3115/v1/p15-1041openalex-snapshot
Learning to Adapt Credible Knowledge in Cross-lingual Sentiment Analysis
inferred← citeshttps://doi.org/10.3115/v1/p15-1042openalex-snapshot
Learning Bilingual Sentiment Word Embeddings for Cross-language Sentiment Classification
inferred← citeshttps://doi.org/10.3115/v1/p15-2128openalex-snapshot
Aspect-Level Cross-lingual Sentiment Classification with Constrained SMT
inferred← citeshttps://doi.org/10.32657/10220/48173openalex-snapshot
Linguistic-inspired Chinese sentiment analysis : from characters to radicals and phonetics
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