Soft labeling constraint for generalizing from sentiments in single domain

Soft labeling constraint for generalizing from sentiments in single domain

In this work, we deal with domain generalization in sentiment analysis. In traditional domain generalization systems, multiple source domains are used to generalize to a single target domain. However, we tackle the scenario where examples of sentiments from only one domain are available. Recent work...

書目詳細資料
Main Authors:	Roy, Abhinaba, Cambria, Erik
其他作者:	School of Computer Science and Engineering
格式:	Journal Article
語言:	English
出版:	2022
主題:	Engineering::Computer science and engineering Domain Generalization Sentiment Analysis
在線閱讀:	https://hdl.handle.net/10356/162071

相似書籍

Cognitive-inspired domain adaptation of sentiment lexicons
由: Xing, Frank Z., et al.
出版: (2021)

Phonetic-enriched text representation for Chinese sentiment analysis with reinforcement learning
由: Peng, Haiyun, et al.
出版: (2022)

A novel context-aware multimodal framework for persian sentiment analysis
由: Dashtipour, Kia, et al.
出版: (2022)

Towards a Framework on Sentiment Analysis of Educational Domain for Improving the Teaching and Learning Services
由: Harnani Mat Zin, et al.
出版: (2017-11-01)

A review of sentiment analysis research in Arabic language
由: Oueslati, Oumaima, et al.
出版: (2021)

Survey on sentiment analysis: evolution of research methods and topics
由: Cui, Jingfeng, et al.
出版: (2023)

OntoSenticNet : a commonsense ontology for sentiment analysis
由: Dragoni, Mauro, et al.
出版: (2020)

Ensemble application of ELM and GPU for real-time multimodal sentiment analysis
由: Tran, Ha-Nguyen, et al.
出版: (2020)

How intense are you? Predicting intensities of emotions and sentiments using stacked ensemble [application notes]
由: Akhtar, M. S., et al.
出版: (2021)

Multimodal sentiment analysis using hierarchical fusion with context modeling
由: Majumder, Navonil, et al.
出版: (2020)

Sentiment-aware volatility forecasting
由: Xing, Frank Z., et al.
出版: (2021)

Sentic LSTM : a hybrid network for targeted aspect-based sentiment analysis
由: Ma, Yukun, et al.
出版: (2020)

Multimodal sentiment analysis : addressing key issues and setting up the baselines
由: Poria, Soujanya, et al.
出版: (2020)

Public mood – driven asset allocation : the importance of financial sentiment in portfolio management
由: Malandri, Lorenzo, et al.
出版: (2020)

ABCDM : an Attention-based Bidirectional CNN-RNN Deep Model for sentiment analysis
由: Basiri, Mohammad Ehsan, et al.
出版: (2021)

Fuzzy commonsense reasoning for multimodal sentiment analysis
由: Chaturvedi, Iti, et al.
出版: (2021)

BiERU: bidirectional emotional recurrent unit for conversational sentiment analysis
由: Li, Wei, et al.
出版: (2022)

Learning multi-grained aspect target sequence for Chinese sentiment analysis
由: Peng, Haiyun, et al.
出版: (2020)

Inconsistencies on TripAdvisor reviews : a unified index between users and Sentiment Analysis Methods
由: Valdivia, Ana, et al.
出版: (2021)

Meta-based self-training and re-weighting for aspect-based sentiment analysis
由: He, Kai, et al.
出版: (2022)

A convolutional stacked bidirectional LSTM with a multiplicative attention mechanism for aspect category and sentiment detection
由: Kumar, Ashok J., et al.
出版: (2022)

Gender-based multi-aspect sentiment detection using multilabel learning
由: Kumar, J. Ashok, et al.
出版: (2022)

Annotation guideline for data labelling in sentiment analysis /cMohamad Syahir Azmir
由: Mohamad Syahir Azmir, 1983-, author 619910, et al.
出版: (2017)

Annotation guideline for data labelling in sentiment analysis /cMohamad Syahir Azmir
由: Mohamad Syahir Azmir, 1983- author 645385
出版: (2017)

Domain-Aware Neural Network with a Novel Attention-Pooling Technology for Binary Sentiment Classification
由: Chunyi Yue, et al.
出版: (2024-09-01)

Lexicon-based sentiment analysis: Comparative evaluation of six sentiment lexicons
由: Khoo, Christopher S. G., et al.
出版: (2017)

Investigating Semantic Differences in User-Generated Content by Cross-Domain Sentiment Analysis Means
由: Traian-Radu Ploscă, et al.
出版: (2024-03-01)

Sentic API: A common-sense based API for concept-level sentiment analysis
由: Cambria, Erik, et al.
出版: (2017)

Few-Shot Methods for Aspect-Level Sentiment Analysis
由: Aleksander Wawer
出版: (2024-10-01)

An exemplar-based multi-view domain generalization framework for visual recognition
由: Niu, Li, et al.
出版: (2020)

Construction of a Model for the Cross-Domain Opinion Word Extraction
由: N. V. Loukachevitch, et al.
出版: (2013-04-01)

MiMuSA—mimicking human language understanding for fine-grained multi-class sentiment analysis
由: Wang, Zhaoxia, et al.
出版: (2024)

Recursive Sentiment Detection Algorithm for Russian Sentences
由: Anatoliy Y. Poletaev, et al.
出版: (2022-06-01)

Sentiment analysis : an automatic contextual analysis and ensemble clustering approach and comparison
由: AL-Sharuee, Murtadha Talib, et al.
出版: (2020)

Features and classifiers for sentiment analysis of Arabic tweets /
由: Marwa Abdo Ali Alhazmi, 1986-, author 640611, et al.
出版: (2016)

Features and classifiers for sentiment analysis of Arabic tweets /
由: Marwa Abdo Ali Alhazmi, 1986-, author 640611
出版: (2016)

Conditional contrastive domain generalization for fault diagnosis
由: Ragab, Mohamed, et al.
出版: (2022)

Tailored text augmentation for sentiment analysis
由: Feng, Zijian, et al.
出版: (2022)

Sentiment analysis of student’s opinion on programming assessment using naïve bayes algorithm on small data /
由: Mahmood Umar, 1987-, author 633337, et al.
出版: (2019)

Sentiment analysis of student’s opinion on programming assessment using naïve bayes algorithm on small data /
由: Mahmood Umar, 1987-, author 633337, et al.
出版: (2019)