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Recognizing Contextual Polarity in Phrase-Level Sentiment Analysis
TLDR
A new approach to phrase-level sentiment analysis is presented that first determines whether an expression is neutral or polar and then disambiguates the polarity of the polar expressions.
Annotating Expressions of Opinions and Emotions in Language
TLDR
The manual annotation process and the results of an inter-annotator agreement study on a 10,000-sentence corpus of articles drawn from the world press are presented.
Learning Extraction Patterns for Subjective Expressions
TLDR
A bootstrapping process that learns linguistically rich extraction patterns for subjective (opinionated) expressions while maintaining high precision is presented.
OpinionFinder: A System for Subjectivity Analysis
OpinionFinder is a system that performs subjectivity analysis, automatically identifying when opinions, sentiments, speculations, and other private states are present in text. Specifically,
Learning Subjective Language
TLDR
This article shows that the density of subjectivity clues in the surrounding context strongly affects how likely it is that a word is subjective, and it provides the results of an annotation study assessing the subjectivity of sentences with high-density features.
Effects of Adjective Orientation and Gradability on Sentence Subjectivity
TLDR
A novel trainable method that statistically combines two indicators of gradability is presented and evaluated, complementing existing automatic techniques for assigning orientation labels.
Articles: Recognizing Contextual Polarity: An Exploration of Features for Phrase-Level Sentiment Analysis
TLDR
The goal of this work is to automatically distinguish between prior and contextual polarity, with a focus on understanding which features are important for this task, and it is shown that the presence of neutral instances greatly degrades the performance of features for distinguishing between positive and negative polarity.
Learning Multilingual Subjective Language via Cross-Lingual Projections
TLDR
This paper discusses learning multilingual subjective language via cross-lingual projections with a focus on English as a second language.
SemEval-2014 Task 10: Multilingual Semantic Textual Similarity
TLDR
This year, the participants were challenged with new data sets for English, as well as the introduction of Spanish, as a new language in which to assess semantic similarity, and the annotations for both tasks leveraged crowdsourcing.
Creating Subjective and Objective Sentence Classifiers from Unannotated Texts
TLDR
The results of developing subjectivity classifiers using only unannotated texts for training rivals that of previous supervised learning approaches and advances the state of the art in objective sentence classification.
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