Papers Sentiment Classification
“Sentiment Classification” 태그가 달린 논문 949편 · 필터 해제
A Hierarchical Interactive Network for Joint Span-based Aspect-Sentiment Analysis
Recently, some span-based methods have achieved encouraging performances for joint aspect-sentiment analysis, which first extract aspects (aspect extraction) by detecting aspect boundaries and then classify the span-leve…
Aspect ExtractionSentiment AnalysisSentiment ClassificationTarget-oriented Sentiment Classification with Sequential Cross-modal Semantic Graph
Multi-modal aspect-based sentiment classification (MABSC) is task of classifying the sentiment of a target entity mentioned in a sentence and an image. However, previous methods failed to account for the fine-grained sem…
DecoderImage CaptioningSentenceSentiment Analysis+1Quantifying the Knowledge in a DNN to Explain Knowledge Distillation for Classification
Compared to traditional learning from scratch, knowledge distillation sometimes makes the DNN achieve superior performance. This paper provides a new perspective to explain the success of knowledge distillation, i.e., qu…
3D Point Cloud ClassificationClassificationimage-classificationImage Classification+5VAuLT: Augmenting the Vision-and-Language Transformer for Sentiment Classification on Social Media
We propose the Vision-and-Augmented-Language Transformer (VAuLT). VAuLT is an extension of the popular Vision-and-Language Transformer (ViLT), and improves performance on vision-and-language (VL) tasks that involve more …
DescriptiveDiversityImage CaptioningLanguage Modelling+3The Moral Foundations Reddit Corpus
Moral framing and sentiment can affect a variety of online and offline behaviors, including donation, pro-environmental action, political engagement, and even participation in violent protests. Various computational meth…
domain classificationSentiment AnalysisSentiment ClassificationTransfer LearningPyABSA: A Modularized Framework for Reproducible Aspect-based Sentiment Analysis
The advancement of aspect-based sentiment analysis (ABSA) has urged the lack of a user-friendly framework that can largely lower the difficulty of reproducing state-of-the-art ABSA performance, especially for beginners. …
Aspect-Based Sentiment AnalysisAspect-Based Sentiment Analysis (ABSA)Data AugmentationGeneral Classification+4Towards a Sentiment-Aware Conversational Agent
In this paper, we propose an end-to-end sentiment-aware conversational agent based on two models: a reply sentiment prediction model, which leverages the context of the dialogue to predict an appropriate sentiment for th…
Sentiment AnalysisSentiment ClassificationText GenerationSTT: Soft Template Tuning for Few-Shot Adaptation
Prompt tuning has been an extremely effective tool to adapt a pre-trained model to downstream tasks. However, standard prompt-based methods mainly consider the case of sufficient data of downstream tasks. It is still unc…
Few-Shot LearningLanguage ModelingLanguage ModellingMasked Language Modeling+2Exploiting Word Semantics to Enrich Character Representations of Chinese Pre-trained Models
Most of the Chinese pre-trained models adopt characters as basic units for downstream tasks. However, these models ignore the information carried by words and thus lead to the loss of some important semantics. In this pa…
Machine Reading ComprehensionNatural Language InferenceReading ComprehensionSentence+2Multimodal Feature Extraction for Memes Sentiment Classification
In this study, we propose feature extraction for multimodal meme classification using Deep Learning approaches. A meme is usually a photo or video with text shared by the young generation on social media platforms that e…
ClassificationMeme ClassificationSentiment AnalysisSentiment ClassificationDeep Learning Reveals Patterns of Diverse and Changing Sentiments Towards COVID-19 Vaccines Based on 11 Million Tweets
Over 12 billion doses of COVID-19 vaccines have been administered at the time of writing. However, public perceptions of vaccines have been complex. We analyzed COVID-19 vaccine-related tweets to understand the evolving …
Sentiment AnalysisSentiment ClassificationResponse Construct Tagging: NLP-Aided Assessment for Engineering Education
Recent advances in natural language processing (NLP) have greatly helped educational applications, for both teachers and students. In higher education, there is great potential to use NLP tools for advancing pedagogical …
Sentiment AnalysisSentiment ClassificationYNU-HPCC at SemEval-2022 Task 4: Finetuning Pretrained Language Models for Patronizing and Condescending Language Detection
This paper describes a system built in the SemEval-2022 competition. As participants in Task 4: Patronizing and Condescending Language Detection, we implemented the text sentiment classification system for two subtasks i…
ClassificationMulti-Label ClassificationMUlTI-LABEL-ClASSIFICATIONSentiment Analysis+1UFRGSent at SemEval-2022 Task 10: Structured Sentiment Analysis using a Question Answering Model
This paper describes the system submitted by our team (UFRGSent) to SemEval-2022 Task 10: Structured Sentiment Analysis. We propose a multilingual approach that relies on a Question Answering model to find tuples consist…
PositionQuestion AnsweringSentiment AnalysisSentiment ClassificationAspect Is Not You Need: No-aspect Differential Sentiment Framework for Aspect-based Sentiment Analysis
Aspect-based sentiment analysis (ABSA) is a fine-grained sentiment classification task. Most recent efforts adopt pre-trained model to classify the sentences with aspects. However, the aspect sentiment bias from pre-trai…
Aspect-Based Sentiment AnalysisAspect-Based Sentiment Analysis (ABSA)Contrastive LearningSentence+2Protoformer: Embedding Prototypes for Transformers
Transformers have been widely applied in text classification. Unfortunately, real-world data contain anomalies and noisy labels that cause challenges for state-of-art Transformers. This paper proposes Protoformer, a nove…
ClassificationGeneral ClassificationLanguage ModellingLarge Language Model+4Low Resource Pipeline for Spoken Language Understanding via Weak Supervision
In Weak Supervised Learning (WSL), a model is trained over noisy labels obtained from semantic rules and task-specific pre-trained models. Rules offer limited generalization over tasks and require significant manual effo…
Emotion ClassificationFew-Shot LearningSentiment AnalysisSentiment Classification+1Domain-Adaptive Text Classification with Structured Knowledge from Unlabeled Data
Domain adaptive text classification is a challenging problem for the large-scale pretrained language models because they often require expensive additional labeled data to adapt to new domains. Existing works usually fai…
ClassificationDomain AdaptationSentiment AnalysisSentiment Classification+2OSN Dashboard Tool For Sentiment Analysis
The amount of opinionated data on the internet is rapidly increasing. More and more people are sharing their ideas and opinions in reviews, discussion forums, microblogs and general social media. As opinions are central …
ClassificationSentiment AnalysisSentiment ClassificationEmoji-based Fine-grained Attention Network for Sentiment Analysis in the Microblog Comments
Microblogs have become a social platform for people to express their emotions in real-time, and it is a trend to analyze user emotional tendencies from the information on Microblogs. The dynamic features of emojis can af…
DiversitySentiment AnalysisSentiment Classification