Papers Sentiment Classification
“Sentiment Classification” 태그가 달린 논문 949편 · 필터 해제
Dual-Attention Model for Aspect-Level Sentiment Classification
I propose a novel dual-attention model(DAM) for aspect-level sentiment classification. Many methods have been proposed, such as support vector machines for artificial design features, long short-term memory networks base…
AllClassificationDependency Parsingmodel+2Finding the Needle in a Haystack: Unsupervised Rationale Extraction from Long Text Classifiers
Long-sequence transformers are designed to improve the representation of longer texts by language models and their performance on downstream document-level tasks. However, not much is understood about the quality of toke…
Document ClassificationLanguage ModelingLanguage ModellingSentence+2Variational Quantum Classifiers for Natural-Language Text
As part of the recent research effort on quantum natural language processing (QNLP), variational quantum sentence classifiers (VQSCs) have been implemented and supported in lambeq / DisCoPy, based on the DisCoCat model o…
coreference-resolutionCoreference ResolutionSentenceSentiment Analysis+1Meme Sentiment Analysis Enhanced with Multimodal Spatial Encoding and Facial Embedding
Internet memes are characterised by the interspersing of text amongst visual elements. State-of-the-art multimodal meme classifiers do not account for the relative positions of these elements across the two modalities, d…
Optical Character Recognition (OCR)PositionSentiment AnalysisSentiment ClassificationTell Model Where to Attend: Improving Interpretability of Aspect-Based Sentiment Classification via Small Explanation Annotations
Gradient-based explanation methods play an important role in the field of interpreting complex deep neural networks for NLP models. However, the existing work has shown that the gradients of a model are unstable and easi…
SentenceSentiment AnalysisSentiment ClassificationAfriSenti: A Twitter Sentiment Analysis Benchmark for African Languages
Africa is home to over 2,000 languages from more than six language families and has the highest linguistic diversity among all continents. These include 75 languages with at least one million speakers each. Yet, there is…
DiversitySentiment AnalysisSentiment ClassificationTwitter Sentiment AnalysisInstructABSA: Instruction Learning for Aspect Based Sentiment Analysis
We introduce InstructABSA, an instruction learning paradigm for Aspect-Based Sentiment Analysis (ABSA) subtasks. Our method introduces positive, negative, and neutral examples to each training sample, and instruction tun…
Aspect-Based Sentiment AnalysisAspect-Based Sentiment Analysis (ABSA)Aspect ExtractionSentiment Analysis+2Learning from Noisy Crowd Labels with Logics
This paper explores the integration of symbolic logic knowledge into deep neural networks for learning from noisy crowd labels. We introduce Logic-guided Learning from Noisy Crowd Labels (Logic-LNCL), an EM-alike iterati…
Knowledge Distillationnamed-entity-recognitionNamed Entity RecognitionNamed Entity Recognition (NER)+2UDApter -- Efficient Domain Adaptation Using Adapters
We propose two methods to make unsupervised domain adaptation (UDA) more parameter efficient using adapters, small bottleneck layers interspersed with every layer of the large-scale pre-trained language model (PLM). The …
Domain AdaptationLanguage ModelingLanguage ModellingNatural Language Inference+3Recursive Neural Networks with Bottlenecks Diagnose (Non-)Compositionality
A recent line of work in NLP focuses on the (dis)ability of models to generalise compositionally for artificial languages. However, when considering natural language tasks, the data involved is not strictly, or locally, …
Sentiment AnalysisSentiment ClassificationEDSA-Ensemble: an Event Detection Sentiment Analysis Ensemble Architecture
As global digitization continues to grow, technology becomes more affordable and easier to use, and social media platforms thrive, becoming the new means of spreading information and news. Communities are built around sh…
Event DetectionSentiment AnalysisSentiment ClassificationTowards Personalized Review Summarization by Modeling Historical Reviews from Customer and Product Separately
Review summarization is a non-trivial task that aims to summarize the main idea of the product review in the E-commerce website. Different from the document summary which only needs to focus on the main facts described i…
Sentiment AnalysisSentiment ClassificationRemoving Non-Stationary Knowledge From Pre-Trained Language Models for Entity-Level Sentiment Classification in Finance
Extraction of sentiment signals from news text, stock message boards, and business reports, for stock movement prediction, has been a rising field of interest in finance. Building upon past literature, the most recent wo…
Sentiment AnalysisSentiment ClassificationTransfer LearningIs word segmentation necessary for Vietnamese sentiment classification?
To the best of our knowledge, this paper made the first attempt to answer whether word segmentation is necessary for Vietnamese sentiment classification. To do this, we presented five pre-trained monolingual S4- based la…
ClassificationSegmentationSentiment AnalysisSentiment ClassificationData Augmentation using Transformers and Similarity Measures for Improving Arabic Text Classification
The performance of learning models heavily relies on the availability and adequacy of training data. To address the dataset adequacy issue, researchers have extensively explored data augmentation (DA) as a promising appr…
ClassificationData AugmentationSentiment AnalysisSentiment Classification+2BLIND: Bias Removal With No Demographics
Models trained on real-world data tend to imitate and amplify social biases. Common methods to mitigate biases require prior information on the types of biases that should be mitigated (e.g., gender or racial bias) and t…
Sentiment AnalysisSentiment ClassificationCross-Lingual Retrieval Augmented Prompt for Low-Resource Languages
Multilingual Pretrained Language Models (MPLMs) have shown their strong multilinguality in recent empirical cross-lingual transfer studies. In this paper, we propose the Prompts Augmented by Retrieval Crosslingually (PAR…
Cross-Lingual TransferNatural Language InferenceRetrievalSentiment Analysis+1Utilizing distilBert transformer model for sentiment classification of COVID-19's Persian open-text responses
The COVID-19 pandemic has caused drastic alternations in human life in all aspects. The government's laws in this regard affected the lifestyle of all people. Due to this fact studying the sentiment of individuals is ess…
Sentiment AnalysisSentiment ClassificationMulti-task Learning for Cross-Lingual Sentiment Analysis
This paper presents a cross-lingual sentiment analysis of news articles using zero-shot and few-shot learning. The study aims to classify the Croatian news articles with positive, negative, and neutral sentiments using t…
ArticlesFew-Shot LearningMulti-Task LearningSentiment Analysis+1Embedding generation for text classification of Brazilian Portuguese user reviews: from bag-of-words to transformers
Text classification is a natural language processing (NLP) task relevant to many commercial applications, like e-commerce and customer service. Naturally, classifying such excerpts accurately often represents a challenge…
Sentiment AnalysisSentiment Classificationtext-classificationText Classification