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Sentiment Analysis

1592 directly classified papers

Papers per year

Papers

He said “who’s gonna take care of your children when you are at ACL?”: Reported Sexist Acts are Not Sexist ACL 2020
Media Bias, the Social Sciences, and NLP: Automating Frame Analyses to Identify Bias by Word Choice and Labeling ACL 2020
A Deep Learning System for Sentiment Analysis of Service Calls ACL 2020
C-Net: Contextual Network for Sarcasm Detection ACL 2020
Neural Sarcasm Detection using Conversation Context ACL 2020
Transformer-based Context-aware Sarcasm Detection in Conversation Threads from Social Media ACL 2020
Clarity: Data-Driven Automatic Assessment of Product Competitiveness AAAI 2020
Heavy-tailed Representations, Text Polarity Classification & Data Augmentation NIPS 2020
Predictive Biases in Natural Language Processing Models: A Conceptual Framework and Overview ACL 2020
Affective Event Classification with Discourse-enhanced Self-training EMNLP 2020
Will_go at SemEval-2020 Task 9: An Accurate Approach for Sentiment Analysis on Hindi-English Tweets Based on Bert and Pesudo Label Strategy SEMEVAL 2020
WESSA at SemEval-2020 Task 9: Code-Mixed Sentiment Analysis Using Transformers SEMEVAL 2020
Voice@SRIB at SemEval-2020 Tasks 9 and 12: Stacked Ensemblingmethod for Sentiment and Offensiveness detection in Social Media SEMEVAL 2020
MeisterMorxrc at SemEval-2020 Task 9: Fine-Tune Bert and Multitask Learning for Sentiment Analysis of Code-Mixed Tweets SEMEVAL 2020
JUNLP at SemEval-2020 Task 9: Sentiment Analysis of Hindi-English Code Mixed Data Using Grid Search Cross Validation SEMEVAL 2020
IIT Gandhinagar at SemEval-2020 Task 9: Code-Mixed Sentiment Classification Using Candidate Sentence Generation and Selection SEMEVAL 2020
HCMS at SemEval-2020 Task 9: A Neural Approach to Sentiment Analysis for Code-Mixed Texts SEMEVAL 2020
Gundapusunil at SemEval-2020 Task 9: Syntactic Semantic LSTM Architecture for SENTIment Analysis of Code-MIXed Data SEMEVAL 2020
PRHLT-UPV at SemEval-2020 Task 8: Study of Multimodal Techniques for Memes Analysis SEMEVAL 2020
Buhscitu at SemEval-2020 Task 7: Assessing Humour in Edited News Headlines Using Hand-Crafted Features and Online Knowledge Bases SEMEVAL 2020
Kk2018 at SemEval-2020 Task 9: Adversarial Training for Code-Mixing Sentiment Classification SEMEVAL 2020
SESAM at SemEval-2020 Task 8: Investigating the Relationship between Image and Text in Sentiment Analysis of Memes SEMEVAL 2020
Hitachi at SemEval-2020 Task 7: Stacking at Scale with Heterogeneous Language Models for Humor Recognition SEMEVAL 2020
SemEval-2020 Task 9: Overview of Sentiment Analysis of Code-Mixed Tweets SEMEVAL 2020
Named-Entity Based Sentiment Analysis of Nepali News Media Texts AACL 2020