📄 A Sentimental Education: Sentiment Analysis Using Subjectivity Summarization Based on Minimum Cuts

Our summary of the paper, in our own words — not its text. The work belongs to its authors; read it at the links above.

Fields: Natural language processing

Cited by

541 papers of our library cite it (of the 140884 whose bibliographies we read); 56 of them have a page here, 485 not yet.

• A Comparative Study of Feature Selection Methods for Dialectal Arabic Sentiment Classification Using Support Vector Machine
• Negation Handling in Machine Learning-Based Sentiment Classification for Colloquial Arabic
• Emotions from Text: Machine Learning for Text-based Emotion Prediction
• A Corpus for Sentence-Level Subjectivity Detection on English News Articles
• Interpreting Neural Networks to Improve Politeness Comprehension
• Layer Normalization
• Robust Sentiment Detection on Twitter from Biased and Noisy Data
• Better Document-level Sentiment Analysis from RST Discourse Parsing
• Universal Sentence Encoder for English
• Universal Sentence Encoder
• DiffCSE: Difference-based Contrastive Learning for Sentence Embeddings
• SentEval: An Evaluation Toolkit for Universal Sentence Representations
• What you can cram into a single $&!#* vector: Probing sentence embeddings for linguistic properties
• Why Can GPT Learn In-Context? Language Models Secretly Perform Gradient Descent as Meta-Optimizers
• Semi-Supervised Recognition of Sarcasm in Twitter and Amazon
• RLPrompt: Optimizing Discrete Text Prompts with Reinforcement Learning
• ERASER: A Benchmark to Evaluate Rationalized NLP Models
• SENTIWORDNET: A Publicly Available Lexical Resource for Opinion Mining
• Language-agnostic BERT Sentence Embedding
• Making Pre-trained Language Models Better Few-shot Learners
• SimCSE: Simple Contrastive Learning of Sentence Embeddings
• DeCLUTR: Deep Contrastive Learning for Unsupervised Textual Representations
• Why are You Taking this Stance? Identifying and Classifying Reasons in Ideological Debates
• Learning Distributed Representations of Sentences from Unlabelled Data
• CODRA: A Novel Discriminative Framework for Rhetorical Analysis
• Your Sentiment Precedes You: Using an author's historical tweets to predict sarcasm
• Convolutional Neural Networks for Sentence Classification
• Contextual Augmentation: Data Augmentation by Words with Paradigmatic Relations
• Unified Demonstration Retriever for In-Context Learning
• An efficient framework for learning sentence representations
• Fantastically Ordered Prompts and Where to Find Them: Overcoming Few-Shot Prompt Order Sensitivity
• Learning Word Vectors for Sentiment Analysis
• Collective Classification for Fine-grained Information Status
• Learning Multilingual Subjective Language via Cross-Lingual Projections
• Noisy Channel Language Model Prompting for Few-Shot Text Classification
• Harnessing Cognitive Features for Sarcasm Detection
• Graph-Cut-Based Anaphoricity Determination for Coreference Resolution
• Representation Learning with Contrastive Predictive Coding
• Seeing Stars: Exploiting Class Relationships for Sentiment Categorization with Respect to Rating Scales
• Rumor has it: Identifying Misinformation in Microblogs
• Learning to Generate Reviews and Discovering Sentiment
• Semi-Supervised Recursive Autoencoders for Predicting Sentiment Distributions
• Supervised and Unsupervised Methods in Employing Discourse Relations for Improving Opinion Polarity Classification
• Partially Supervised Coreference Resolution for Opinion Summarization through Structured Rule Learning
• SemEval-2007 Task 14: Affective Text
• Lexicon-Based Methods for Sentiment Analysis
• Get out the vote: Determining support or opposition from Congressional floor-debate transcripts
• Co-Training for Cross-Lingual Sentiment Classification
• Baselines and Bigrams: Simple, Good Sentiment and Topic Classification
• EDA: Easy Data Augmentation Techniques for Boosting Performance on Text Classification Tasks
• Recognizing Contextual Polarity in Phrase-Level Sentiment Analysis
• Learning from Bullying Traces in Social Media
• GPT3Mix: Leveraging Large-scale Language Models for Text Augmentation
• Using “Annotator Rationales” to Improve Machine Learning for Text Categorization
• An Unsupervised Sentence Embedding Method by Mutual Information Maximization
• Multi-VALUE: A Framework for Cross-Dialectal English NLP

Cite

The paper itself, not this page. BibTeX from the library's record of the work. DOI 10.3115/1218955.1218990

@inproceedings{pang2004sentimental,
  title = {{A Sentimental Education: Sentiment Analysis Using Subjectivity Summarization Based on Minimum Cuts}},
  author = {Pang, Bo and Lee, Lillian},
  booktitle = {Proceedings of the 42nd Annual Meeting of the Association for Computational Linguistics (ACL-04)},
  year = {2004},
  doi = {10.3115/1218955.1218990},
  url = {https://doi.org/10.3115/1218955.1218990}
}

References

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