Papers Sentiment Classification
“Sentiment Classification” 태그가 달린 논문 949편 · 필터 해제
Sentiment Analysis of Online Travel Reviews Based on Capsule Network and Sentiment Lexicon
With the development of online travel services, it has great application prospects to timely mine users' evaluation emotions for travel services and use them as indicators to guide the improvement of online travel servic…
Language ModellingSentiment AnalysisSentiment ClassificationMemoSen: A Multimodal Dataset for Sentiment Analysis of Memes
Posting and sharing memes have become a powerful expedient of expressing opinions on social media in recent days. Analysis of sentiment from memes has gained much attention to researchers due to its substantial implicati…
Multimodal Sentiment AnalysisSentiment AnalysisSentiment ClassificationResources and Experiments on Sentiment Classification for Georgian
This paper presents, to the best of our knowledge, the first ever publicly available annotated dataset for sentiment classification and semantic polarity dictionary for Georgian. The characteristics of these resources an…
ClassificationSentiment AnalysisSentiment ClassificationTransfer Learning+1Sentiment Classification by Incorporating Background Knowledge from Financial Ontologies
Ontologies are increasingly used for machine reasoning over the last few years. They can provide explanations of concepts or be used for concept classification if there exists a mapping from the desired labels to the rel…
ClassificationSentiment AnalysisSentiment ClassificationEMS: Efficient and Effective Massively Multilingual Sentence Embedding Learning
Massively multilingual sentence representation models, e.g., LASER, SBERT-distill, and LaBSE, help significantly improve cross-lingual downstream tasks. However, the use of a large amount of data or inefficient model arc…
Contrastive LearningGenre classificationGPURepresentation Learning+7kNN-Prompt: Nearest Neighbor Zero-Shot Inference
Retrieval-augmented language models (LMs) use non-parametric memory to substantially outperform their non-retrieval counterparts on perplexity-based evaluations, but it is an open question whether they achieve similar ga…
Domain AdaptationLanguage ModellingOpen-Ended Question AnsweringQuestion Answering+5Neural Subgraph Explorer: Reducing Noisy Information via Target-Oriented Syntax Graph Pruning
Recent years have witnessed the emerging success of leveraging syntax graphs for the target sentiment classification task. However, we discover that existing syntax-based models suffer from two issues: noisy information …
Sentiment AnalysisSentiment ClassificationGraph Adaptive Semantic Transfer for Cross-domain Sentiment Classification
Cross-domain sentiment classification (CDSC) aims to use the transferable semantics learned from the source domain to predict the sentiment of reviews in the unlabeled target domain. Existing studies in this task attach …
ClassificationGraph AttentionGraph EmbeddingPOS+2Learn2Weight: Parameter Adaptation against Similar-domain Adversarial Attacks
Recent work in black-box adversarial attacks for NLP systems has attracted much attention. Prior black-box attacks assume that attackers can observe output labels from target models based on selected inputs. In this work…
Adversarial AttackDomain AdaptationMeta-LearningMulti-Domain Sentiment Classification+2Sentiment Analysis of Covid-related Reddits
This paper focuses on Sentiment Analysis of Covid-19 related messages from the r/Canada and r/Unitedkingdom subreddits of Reddit. We apply manual annotation and three Machine Learning algorithms to analyze sentiments con…
BIG-bench Machine LearningSentiment AnalysisSentiment ClassificationHuman Language Modeling
Natural language is generated by people, yet traditional language modeling views words or documents as if generated independently. Here, we propose human language modeling (HuLM), a hierarchical extension to the language…
Age EstimationLanguage ModelingLanguage ModellingSentiment Analysis+2Discrete Opinion Tree Induction for Aspect-based Sentiment Analysis
Dependency trees have been intensively used with graph neural networks for aspect-based sentiment classification. Though being effective, such methods rely on external dependency parsers, which can be unavailable for low…
Aspect-Based Sentiment AnalysisAspect-Based Sentiment Analysis (ABSA)Sentiment AnalysisSentiment ClassificationPolyglot Prompt: Multilingual Multitask PrompTraining
This paper aims for a potential architectural improvement for multilingual learning and asks: Can different tasks from different languages be modeled in a monolithic framework, i.e. without any task/language-specific mod…
named-entity-recognitionNamed Entity RecognitionNamed Entity Recognition (NER)Natural Language Inference+5Tag-assisted Multimodal Sentiment Analysis under Uncertain Missing Modalities
Multimodal sentiment analysis has been studied under the assumption that all modalities are available. However, such a strong assumption does not always hold in practice, and most of multimodal fusion models may fail whe…
DecoderMultimodal Sentiment AnalysisSentiment AnalysisSentiment Classification+1Neural Contrastive Clustering: Fully Unsupervised Bias Reduction for Sentiment Classification
Background: Neural networks produce biased classification results due to correlation bias (they learn correlations between their inputs and outputs to classify samples, even when those correlations do not represent cause…
ClassificationClusteringSentiment AnalysisSentiment Classification+2yosm: A new yoruba sentiment corpus for movie reviews
A movie that is thoroughly enjoyed and recommended by an individual might be hated by another. One characteristic of humans is the ability to have feelings which could be positive or negative. To automatically classify a…
Opinion MiningSentiment AnalysisSentiment ClassificationMono vs Multilingual BERT for Hate Speech Detection and Text Classification: A Case Study in Marathi
Transformers are the most eminent architectures used for a vast range of Natural Language Processing tasks. These models are pre-trained over a large text corpus and are meant to serve state-of-the-art results over tasks…
ArticlesClassificationHate Speech DetectionSentence+5Anti-Asian Hate Speech Detection via Data Augmented Semantic Relation Inference
With the spreading of hate speech on social media in recent years, automatic detection of hate speech is becoming a crucial task and has attracted attention from various communities. This task aims to recognize online po…
Hate Speech DetectionNatural Language InferenceRelationRepresentation Learning+2Adapting Pre-trained Language Models to African Languages via Multilingual Adaptive Fine-Tuning
Multilingual pre-trained language models (PLMs) have demonstrated impressive performance on several downstream tasks for both high-resourced and low-resourced languages. However, there is still a large performance drop f…
Cross-Lingual TransferLanguage ModellingNERparameter-efficient fine-tuning+6Faces: AI Blitz XIII Solutions
AI Blitz XIII Faces challenge hosted on www.aicrowd.com platform consisted of five problems: Sentiment Classification, Age Prediction, Mask Prediction, Face Recognition, and Face De-Blurring. Our team GLaDOS took second …
Face RecognitionPredictionSentiment AnalysisSentiment Classification