Papers Sentiment Classification
“Sentiment Classification” 태그가 달린 논문 949편 · 필터 해제
A Weak Supervision Approach for Few-Shot Aspect Based Sentiment
We explore how weak supervision on abundant unlabeled data can be leveraged to improve few-shot performance in aspect-based sentiment analysis (ABSA) tasks. We propose a pipeline approach to construct a noisy ABSA datase…
Aspect-Based Sentiment AnalysisAspect-Based Sentiment Analysis (ABSA)Aspect ExtractionAspect Sentiment Triplet Extraction+4NollySenti: Leveraging Transfer Learning and Machine Translation for Nigerian Movie Sentiment Classification
Africa has over 2000 indigenous languages but they are under-represented in NLP research due to lack of datasets. In recent years, there have been progress in developing labeled corpora for African languages. However, th…
Domain AdaptationMachine TranslationSentiment AnalysisSentiment Classification+1Asymmetric feature interaction for interpreting model predictions
In natural language processing (NLP), deep neural networks (DNNs) could model complex interactions between context and have achieved impressive results on a range of NLP tasks. Prior works on feature interaction attribut…
modelSentiment AnalysisSentiment ClassificationCrudeBERT: Applying Economic Theory towards fine-tuning Transformer-based Sentiment Analysis Models to the Crude Oil Market
Predicting market movements based on the sentiment of news media has a long tradition in data analysis. With advances in natural language processing, transformer architectures have emerged that enable contextually aware …
Sentiment AnalysisSentiment ClassificationReMask: A Robust Information-Masking Approach for Domain Counterfactual Generation
Domain shift is a big challenge in NLP, thus, many approaches resort to learning domain-invariant features to mitigate the inference phase domain shift. Such methods, however, fail to leverage the domain-specific nuances…
counterfactualDomain Adaptationintent-classificationIntent Classification+4Psychologically-Inspired Causal Prompts
NLP datasets are richer than just input-output pairs; rather, they carry causal relations between the input and output variables. In this work, we take sentiment classification as an example and look into the causal rela…
Sentiment AnalysisSentiment ClassificationHausaNLP at SemEval-2023 Task 10: Transfer Learning, Synthetic Data and Side-Information for Multi-Level Sexism Classification
We present the findings of our participation in the SemEval-2023 Task 10: Explainable Detection of Online Sexism (EDOS) task, a shared task on offensive language (sexism) detection on English Gab and Reddit dataset. We i…
ClassificationSentiment AnalysisSentiment ClassificationTransfer LearningUIO at SemEval-2023 Task 12: Multilingual fine-tuning for sentiment classification in low-resource languages
Our contribution to the 2023 AfriSenti-SemEval shared task 12: Sentiment Analysis for African Languages, provides insight into how a multilingual large language model can be a resource for sentiment analysis in languages…
Language ModelingLanguage ModellingLarge Language ModelSentiment Analysis+1HausaNLP at SemEval-2023 Task 12: Leveraging African Low Resource TweetData for Sentiment Analysis
We present the findings of SemEval-2023 Task 12, a shared task on sentiment analysis for low-resource African languages using Twitter dataset. The task featured three subtasks; subtask A is monolingual sentiment classifi…
Sentiment AnalysisSentiment ClassificationTwitter Sentiment AnalysisZero-shot Sentiment ClassificationProcessing Natural Language on Embedded Devices: How Well Do Transformer Models Perform?
This paper presents a performance study of transformer language models under different hardware configurations and accuracy requirements and derives empirical observations about these resource/accuracy trade-offs. In par…
Sentiment AnalysisSentiment ClassificationMasakhane-Afrisenti at SemEval-2023 Task 12: Sentiment Analysis using Afro-centric Language Models and Adapters for Low-resource African Languages
AfriSenti-SemEval Shared Task 12 of SemEval-2023. The task aims to perform monolingual sentiment classification (sub-task A) for 12 African languages, multilingual sentiment classification (sub-task B), and zero-shot sen…
ClassificationSentiment AnalysisSentiment ClassificationZero-shot Sentiment ClassificationSemEval-2023 Task 12: Sentiment Analysis for African Languages (AfriSenti-SemEval)
We present the first Africentric SemEval Shared task, Sentiment Analysis for African Languages (AfriSenti-SemEval) - The dataset is available at https://github.com/afrisenti-semeval/afrisent-semeval-2023. AfriSenti-SemEv…
ClassificationSentiment AnalysisSentiment Classificationzero-shot-classification+1Towards systematic intraday news screening: a liquidity-focused approach
News can convey bearish or bullish views on financial assets. Institutional investors need to evaluate automatically the implied news sentiment based on textual data. Given the huge amount of news articles published each…
ArticlesSentiment AnalysisSentiment ClassificationAdopting Two Supervisors for Efficient Use of Large-Scale Remote Deep Neural Networks
Recent decades have seen the rise of large-scale Deep Neural Networks (DNNs) to achieve human-competitive performance in a variety of artificial intelligence tasks. Often consisting of hundreds of millions, if not hundre…
image-classificationImage ClassificationQuestion AnsweringSentiment Analysis+1Sentiment Analysis Dataset in Moroccan Dialect: Bridging the Gap Between Arabic and Latin Scripted dialect
Sentiment analysis, the automated process of determining emotions or opinions expressed in text, has seen extensive exploration in the field of natural language processing. However, one aspect that has remained underrepr…
Sentiment AnalysisSentiment ClassificationBorrowing Human Senses: Comment-Aware Self-Training for Social Media Multimodal Classification
Social media is daily creating massive multimedia content with paired image and text, presenting the pressing need to automate the vision and language understanding for various multimodal classification tasks. Compared t…
ClassificationHate Speech DetectionRelation ClassificationSarcasm Detection+2Verifying Properties of Tsetlin Machines
Tsetlin Machines (TsMs) are a promising and interpretable machine learning method which can be applied for various classification tasks. We present an exact encoding of TsMs into propositional logic and formally verify p…
Adversarial RobustnessInterpretable Machine LearningSentiment AnalysisSentiment ClassificationMSAT: Biologically Inspired Multi-Stage Adaptive Threshold for Conversion of Spiking Neural Networks
Spiking Neural Networks (SNNs) can do inference with low power consumption due to their spike sparsity. ANN-SNN conversion is an efficient way to achieve deep SNNs by converting well-trained Artificial Neural Networks (A…
Sentiment AnalysisSentiment Classificationspeech-recognitionSpeech RecognitionLearning for Amalgamation: A Multi-Source Transfer Learning Framework For Sentiment Classification
Transfer learning plays an essential role in Deep Learning, which can remarkably improve the performance of the target domain, whose training data is not sufficient. Our work explores beyond the common practice of transf…
Sentiment AnalysisSentiment ClassificationTransfer LearningCross-domain Sentiment Classification in Spanish
Sentiment Classification is a fundamental task in the field of Natural Language Processing, and has very important academic and commercial applications. It aims to automatically predict the degree of sentiment present in…
ClassificationSentiment AnalysisSentiment Classification