Papers Sentiment Classification
“Sentiment Classification” 태그가 달린 논문 949편 · 필터 해제
Sentiment Classification of Code-Mixed Tweets using Bi-Directional RNN and Language Tags
Sentiment analysis tools and models have been developed extensively throughout the years, for European languages. In contrast, similar tools for Indian Languages are scarce. This is because, state-of-the-art pre-processi…
POSSentiment AnalysisSentiment ClassificationTask-Specific Pre-Training and Cross Lingual Transfer for Sentiment Analysis in Dravidian Code-Switched Languages
Sentiment analysis in Code-Mixed languages has garnered a lot of attention in recent years. It is an important task for social media monitoring and has many applications, as a large chunk of social media data is Code-Mix…
Cross-Lingual TransferSentiment AnalysisSentiment ClassificationThe IDC System for Sentiment Classification and Sarcasm Detection in Arabic
Sentiment classification and sarcasm detection attract a lot of attention by the NLP research community. However, solving these two problems in Arabic and on the basis of social network data (i.e., Twitter) is still of l…
Sarcasm DetectionSentiment AnalysisSentiment ClassificationFEEL-IT: Emotion and Sentiment Classification for the Italian Language
While sentiment analysis is a popular task to understand people’s reactions online, we often need more nuanced information: is the post negative because the user is angry or sad? An abundance of approaches have been intr…
ClassificationSentiment AnalysisSentiment ClassificationContextual Text Embeddings for Twi
Transformer-based language models have been changing the modern Natural Language Processing (NLP) landscape for high-resource languages such as English, Chinese, Russian, etc. However, this technology does not yet exist …
Face ModelMachine Translationnamed-entity-recognitionNamed Entity Recognition+9Explaining a Neural Attention Model for Aspect-Based Sentiment Classification Using Diagnostic Classification
Many high performance machine learning models for Aspect-Based Sentiment Classification (ABSC) produce black box models, and therefore barely explain how they classify a certain sentiment value towards an aspect. In this…
ClassificationDiagnosticGeneral ClassificationRelation+2Exercise? I thought you said 'Extra Fries': Leveraging Sentence Demarcations and Multi-hop Attention for Meme Affect Analysis
Today's Internet is awash in memes as they are humorous, satirical, or ironic which make people laugh. According to a survey, 33% of social media users in age bracket [13-35] send memes every day, whereas more than 50% s…
AllSentenceSentiment AnalysisSentiment ClassificationGrey-box Adversarial Attack And Defence For Sentiment Classification
We introduce a grey-box adversarial attack and defence framework for sentiment classification. We address the issues of differentiability, label preservation and input reconstruction for adversarial attack and defence in…
Adversarial AttackClassificationGeneral ClassificationSentiment Analysis+1TextFlint: Unified Multilingual Robustness Evaluation Toolkit for Natural Language Processing
Various robustness evaluation methodologies from different perspectives have been proposed for different natural language processing (NLP) tasks. These methods have often focused on either universal or task-specific gene…
Adversarial Attacknamed-entity-recognitionNamed Entity RecognitionNamed Entity Recognition (NER)+3AngryBERT: Joint Learning Target and Emotion for Hate Speech Detection
Automated hate speech detection in social media is a challenging task that has recently gained significant traction in the data mining and Natural Language Processing community. However, most of the existing methods adop…
Hate Speech DetectionSentiment AnalysisSentiment ClassificationBidirectional Machine Reading Comprehension for Aspect Sentiment Triplet Extraction
Aspect sentiment triplet extraction (ASTE), which aims to identify aspects from review sentences along with their corresponding opinion expressions and sentiments, is an emerging task in fine-grained opinion mining. Sinc…
Aspect Sentiment Triplet ExtractionMachine Reading ComprehensionOpinion MiningReading Comprehension+3Graph Ensemble Learning over Multiple Dependency Trees for Aspect-level Sentiment Classification
Recent work on aspect-level sentiment classification has demonstrated the efficacy of incorporating syntactic structures such as dependency trees with graph neural networks(GNN), but these approaches are usually vulnerab…
Ensemble LearningGeneral ClassificationSentiment AnalysisSentiment ClassificationTowards Multi-Sense Cross-Lingual Alignment of Contextual Embeddings
Cross-lingual word embeddings (CLWE) have been proven useful in many cross-lingual tasks. However, most existing approaches to learn CLWE including the ones with contextual embeddings are sense agnostic. In this work, we…
Cross-Lingual NERCross-Lingual Word EmbeddingsNERSentiment Analysis+3Improving Document-Level Sentiment Classification Using Importance of Sentences
Previous researchers have considered sentiment analysis as a document classification task, in which input documents are classified into predefined sentiment classes. Although there are sentences in a document that suppor…
ClassificationDocument ClassificationGeneral ClassificationSentence+4Decoding EEG Brain Activity for Multi-Modal Natural Language Processing
Until recently, human behavioral data from reading has mainly been of interest to researchers to understand human cognition. However, these human language processing signals can also be beneficial in machine learning-bas…
BIG-bench Machine LearningEEGElectroencephalogram (EEG)Sentiment Analysis+1IFoodCloud: A Platform for Real-time Sentiment Analysis of Public Opinion about Food Safety in China
The Internet contains a wealth of public opinion on food safety, including views on food adulteration, food-borne diseases, agricultural pollution, irregular food distribution, and food production issues. In order to sys…
Sentiment AnalysisSentiment ClassificationClustering Word Embeddings with Self-Organizing Maps. Application on LaRoSeDa -- A Large Romanian Sentiment Data Set
Romanian is one of the understudied languages in computational linguistics, with few resources available for the development of natural language processing tools. In this paper, we introduce LaRoSeDa, a Large Romanian Se…
ClusteringSentiment AnalysisSentiment ClassificationText Categorization+1Explain and Predict, and then Predict Again
A desirable property of learning systems is to be both effective and interpretable. Towards this goal, recent models have been proposed that first generate an extractive explanation from the input text and then generate …
Explanation GenerationFact VerificationInductive BiasMulti-Task Learning+3BRDS: An FPGA-based LSTM Accelerator with Row-Balanced Dual-Ratio Sparsification
In this paper, first, a hardware-friendly pruning algorithm for reducing energy consumption and improving the speed of Long Short-Term Memory (LSTM) neural network accelerators is presented. Next, an FPGA-based platform …
Sentiment AnalysisSentiment Classificationspeech-recognitionSpeech RecognitionA Joint Training Dual-MRC Framework for Aspect Based Sentiment Analysis
Aspect based sentiment analysis (ABSA) involves three fundamental subtasks: aspect term extraction, opinion term extraction, and aspect-level sentiment classification. Early works only focused on solving one of these sub…
Aspect-Based Sentiment AnalysisAspect-Based Sentiment Analysis (ABSA)Aspect-oriented Opinion ExtractionAspect Sentiment Triplet Extraction+7