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Sentiment Analysis

1592 directly classified papers

Papers per year

Papers

Financial Sentiment Analysis: An Investigation into Common Mistakes and Silver Bullets COLING 2020
Adapting a Language Model for Controlled Affective Text Generation COLING 2020
Autoregressive Affective Language Forecasting: A Self-Supervised Task COLING 2020
Summarize before Aggregate: A Global-to-local Heterogeneous Graph Inference Network for Conversational Emotion Recognition COLING 2020
Lost in Back-Translation: Emotion Preservation in Neural Machine Translation COLING 2020
MEISD: A Multimodal Multi-Label Emotion, Intensity and Sentiment Dialogue Dataset for Emotion Recognition and Sentiment Analysis in Conversations COLING 2020
GPolS: A Contextual Graph-Based Language Model for Analyzing Parliamentary Debates and Political Cohesion COLING 2020
Sentiment Analysis for Emotional Speech Synthesis in a News Dialogue System COLING 2020
Domain-Specific Sentiment Lexicons Induced from Labeled Documents COLING 2020
It’s absolutely divine! Can fine-grained sentiment analysis benefit from coreference resolution? COLING 2020
IIITG-ADBU at SemEval-2020 Task 9: SVM for Sentiment Analysis of English-Hindi Code-Mixed Text COLING 2020
MSR India at SemEval-2020 Task 9: Multilingual Models Can Do Code-Mixing Too COLING 2020
Amobee at SemEval-2020 Task 7: Regularization of Language Model Based Classifiers COLING 2020
Duluth at SemEval-2020 Task 7: Using Surprise as a Key to Unlock Humorous Headlines COLING 2020
Ferryman at SemEval-2020 Task 7: Ensemble Model for Assessing Humor in Edited News Headlines COLING 2020
SIS@IIITH at SemEval-2020 Task 8: An Overview of Simple Text Classification Methods for Meme Analysis COLING 2020
BAKSA at SemEval-2020 Task 9: Bolstering CNN with Self-Attention for Sentiment Analysis of Code Mixed Text COLING 2020
C1 at SemEval-2020 Task 9: SentiMix: Sentiment Analysis for Code-Mixed Social Media Text Using Feature Engineering COLING 2020
Deep Learning Brasil - NLP at SemEval-2020 Task 9: Sentiment Analysis of Code-Mixed Tweets Using Ensemble of Language Models COLING 2020
FiSSA at SemEval-2020 Task 9: Fine-tuned for Feelings COLING 2020
Gundapusunil at SemEval-2020 Task 9: Syntactic Semantic LSTM Architecture for SENTIment Analysis of Code-MIXed Data COLING 2020
HCMS at SemEval-2020 Task 9: A Neural Approach to Sentiment Analysis for Code-Mixed Texts COLING 2020
IIT Gandhinagar at SemEval-2020 Task 9: Code-Mixed Sentiment Classification Using Candidate Sentence Generation and Selection COLING 2020
JUNLP at SemEval-2020 Task 9: Sentiment Analysis of Hindi-English Code Mixed Data Using Grid Search Cross Validation COLING 2020
MeisterMorxrc at SemEval-2020 Task 9: Fine-Tune Bert and Multitask Learning for Sentiment Analysis of Code-Mixed Tweets COLING 2020