Sentiment Analysis
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Benchmarks
SST-2 Binary classification
IMDb
Yelp Binary classification
MR
BanglaBook
DynaSent
SST-3
Sentiment Merged
User and product information
Amazon Review Full
Amazon Review Polarity
CR
SLUE
TweetEval
DBRD
FiQA
MPQA
RuSentiment
SemEval
SemEval 2017 Task 4-A
Financial PhraseBank
IMDb Movie Reviews
1B Words
AJGT
ASTD
ArSAS
ChnSentiCorp
ChnSentiCorp Dev
HARD
SAIL 2017
Sogou News
Urdu Online Reviews
Most implemented
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Convolutional Neural Networks for Sentence Classification
RoBERTa: A Robustly Optimized BERT Pretraining Approach
Universal Language Model Fine-tuning for Text Classification
Bag of Tricks for Efficient Text Classification
Papers
An Empirical Study of Counterfactual Self-Explanations in LLMs
Large language models can easily generate explanations for their own outputs, but such self-explanations are not necessarily faithful to the model's behavior. We study this issue through counterfactual self-explanations,…
Natural Language InferenceSentiment AnalysisCan LLMs Follow the Pulse of a Crisis? Evaluating Crisis Sentiment in Bangladesh's July Uprising
Crisis sentiment analysis is especially challenging for low-resource languages such as Bangla, where language, context, and public reaction shift rapidly. We introduce UNRESTSENT200K, a Bangla crisis sentiment dataset wi…
Sentiment AnalysisGenerative Models Enhanced by Sequence Labelling and Aspect-Code Switching Improve Cross-lingual Aspect-Based Sentiment Analysis
Cross-lingual aspect-based sentiment analysis (ABSA) transfers knowledge from a source language with annotated data to a target language, enabling fine-grained sentiment analysis without annotated target-language data. W…
Sentiment AnalysisA Comprehensive Analysis of Arabic Natural Language Processing Research: Trends, Topic Evolution, and Research Gaps -- A Bibliometric and Topic-Based Study
Natural Language Processing (NLP) has grown rapidly over the past decade, driven by digital transformation in the Arab world, social media, and large language models (LLMs). Despite this growth, a comprehensive quantitat…
Sentiment AnalysisHelaBERT: Enhancing Sinhala Language Understanding with Dual Pooling Classification Head
We present HelaBERT, a family of two BERT-based masked language models pre-trained from scratch on approximately 1 billion tokens of Sinhala text sourced from MADLAD-400, CulturaX, and a custom corpus comprising news art…
Text ClassificationSentiment AnalysisSTAR-OPD: Structured Aspect-Cascade-Aware On-Policy Reward Distillation for ABSA Quadruple Extraction
Aspect-based sentiment analysis (ABSA) quadruple extraction requires jointly predicting target, aspect, opinion, and sentiment over reviews that often contain multiple fine-grained sentiment tuples. While large chain-of-…
Sentiment Analysis