Papers Sentiment Classification
“Sentiment Classification” 태그가 달린 논문 949편 · 필터 해제
Open Aspect Target Sentiment Classification with Natural Language Prompts
For many business applications, we often seek to analyze sentiments associated with any arbitrary aspects of commercial products, despite having a very limited amount of labels or even without any labels at all. However,…
ClassificationSentiment AnalysisSentiment ClassificationEliminating Sentiment Bias for Aspect-Level Sentiment Classification with Unsupervised Opinion Extraction
Aspect-level sentiment classification (ALSC) aims at identifying the sentiment polarity of a specified aspect in a sentence. ALSC is a practical setting in aspect-based sentiment analysis due to no opinion term labeling …
Aspect-Based Sentiment AnalysisAspect-Based Sentiment Analysis (ABSA)Representation LearningSentence+2Learning Neural Models for Natural Language Processing in the Face of Distributional Shift
The dominating NLP paradigm of training a strong neural predictor to perform one task on a specific dataset has led to state-of-the-art performance in a variety of applications (eg. sentiment classification, span-predict…
Machine TranslationQuestion AnsweringSentiment AnalysisSentiment ClassificationCross-Lingual Text Classification of Transliterated Hindi and Malayalam
Transliteration is very common on social media, but transliterated text is not adequately handled by modern neural models for various NLP tasks. In this work, we combine data augmentation approaches with a Teacher-Studen…
BenchmarkingClassificationCross-Lingual TransferData Augmentation+6Discretized Integrated Gradients for Explaining Language Models
As a prominent attribution-based explanation algorithm, Integrated Gradients (IG) is widely adopted due to its desirable explanation axioms and the ease of gradient computation. It measures feature importance by averagin…
Feature ImportanceSentiment AnalysisSentiment ClassificationAR-BERT: Aspect-relation enhanced Aspect-level Sentiment Classification with Multi-modal Explanations
Aspect level sentiment classification (ALSC) is a difficult problem with state-of-the-art models showing less than 80% macro-F1 score on benchmark datasets. Existing models do not incorporate information on aspect-aspect…
Aspect-Based Sentiment Analysis (ABSA)Explanation GenerationKnowledge GraphsRelation+2Using GAN-based models to sentimental analysis on imbalanced datasets in education domain
While the whole world is still struggling with the COVID-19 pandemic, online learning and home office become more common. Many schools transfer their courses teaching to the online classroom. Therefore, it is significant…
BIG-bench Machine LearningDeep LearningSentiment AnalysisSentiment Classification+1Prompt-Learning for Fine-Grained Entity Typing
As an effective approach to tune pre-trained language models (PLMs) for specific tasks, prompt-learning has recently attracted much attention from researchers. By using \textit{cloze}-style language prompts to stimulate …
Entity TypingKnowledge ProbingLanguage ModelingLanguage Modelling+5SERF: Towards better training of deep neural networks using log-Softplus ERror activation Function
Activation functions play a pivotal role in determining the training dynamics and neural network performance. The widely adopted activation function ReLU despite being simple and effective has few disadvantages including…
image-classificationImage ClassificationMachine Translationobject-detection+4Understand me, if you refer to Aspect Knowledge: Knowledge-aware Gated Recurrent Memory Network
Aspect-level sentiment classification (ASC) aims to predict the fine-grained sentiment polarity towards a given aspect mentioned in a review. Despite recent advances in ASC, enabling machines to preciously infer aspect s…
Aspect-Based Sentiment Analysis (ABSA)Sentiment AnalysisSentiment ClassificationExploiting BERT For Multimodal Target Sentiment Classification Through Input Space Translation
Multimodal target/aspect sentiment classification combines multimodal sentiment analysis and aspect/target sentiment classification. The goal of the task is to combine vision and language to understand the sentiment towa…
Language ModelingLanguage ModellingMultimodal Sentiment AnalysisSentence+4Cross-Modal Knowledge Transfer via Inter-Modal Translation and Alignment for Affect Recognition
Multi-modal affect recognition models leverage complementary information in different modalities to outperform their uni-modal counterparts. However, due to the unavailability of modality-specific sensors or data, multi-…
Sentiment AnalysisSentiment ClassificationTransfer LearningTranslationDual Graph Convolutional Networks for Aspect-based Sentiment Analysis
Aspect-based sentiment analysis is a fine-grained sentiment classification task. Recently, graph neural networks over dependency trees have been explored to explicitly model connections between aspects and opinion words.…
Aspect-Based Sentiment AnalysisAspect-Based Sentiment Analysis (ABSA)Dependency ParsingSentiment Analysis+1基于时间注意力胶囊网络的维吾尔语情感分类模型(Uyghur Sentiment Classification Model Based on Temporal Attention Capsule Networks)
“维吾尔语属于稀缺资源语言,如何在资源有限的情况下提升维吾尔语情感分类模型的性能,是目前待解决的问题。本文针对现有维吾尔语情感分析因为泛化能力不足所导致的分类效果不佳的问题,提出了基于时间卷积注意力胶囊网络的维吾尔语情感分类模型匨協十匭千卡印匩。本文在维吾尔语情感分类数据集中进行了实验并且从多个评价指标(准确率,精确率,召回率,F1值)进行评估,实验结果表明本文提出的模型相比传统深度学习模型可以有效提升维吾尔语情感分类的各项指标。”
Sentiment AnalysisSentiment ClassificationSentiment Preservation in Review Translation using Curriculum-based Re-inforcement Framework
Machine Translation (MT) systems often fail to preserve different stylistic and pragmatic properties of the source text (e.g. sentiment and emotion and gender traits and etc.) to the target and especially in a low-resour…
Machine TranslationSentiment AnalysisSentiment ClassificationTranslationArabic aspect sentiment polarity classification using BERT
Aspect-based sentiment analysis(ABSA) is a textual analysis methodology that defines the polarity of opinions on certain aspects related to specific targets. The majority of research on ABSA is in English, with a small a…
Aspect-Based Sentiment AnalysisAspect-Based Sentiment Analysis (ABSA)ClassificationSentence+3Sentiment Analysis of the COVID-related r/Depression Posts
Reddit.com is a popular social media platform among young people. Reddit users share their stories to seek support from other users, especially during the Covid-19 pandemic. Messages posted on Reddit and their content ha…
Sentiment AnalysisSentiment ClassificationPreliminary Steps Towards Federated Sentiment Classification
Automatically mining sentiment tendency contained in natural language is a fundamental research to some artificial intelligent applications, where solutions alternate with challenges. Transfer learning and multi-task lea…
ClassificationDimensionality ReductionFederated LearningMulti-Task Learning+3Negation Handling in Machine Learning-Based Sentiment Classification for Colloquial Arabic
One crucial aspect of sentiment analysis is negation handling, where the occurrence of negation can flip the sentiment of a sentence and negatively affects the machine learning-based sentiment classification. The role of…
Arabic Sentiment AnalysisBIG-bench Machine LearningNegationSentence+2Transfer Learning for Improving Results on Russian Sentiment Datasets
In this study, we test transfer learning approach on Russian sentiment benchmark datasets using additional train sample created with distant supervision technique. We compare several variants of combining additional data…
Natural Language InferenceSentiment AnalysisSentiment ClassificationTransfer Learning