Measuring praise and criticism: Inference of semantic orientation from association
ACM Transactions on Information Systems (TOIS)
A holistic lexicon-based approach to opinion mining
WSDM '08 Proceedings of the 2008 International Conference on Web Search and Data Mining
Fine-grained subjectivity and sentiment analysis: recognizing the intensity, polarity, and attitudes of private states
Lexicon based sentiment analysis of Urdu text using SentiUnits
MICAI'10 Proceedings of the 9th Mexican international conference on Advances in artificial intelligence: Part I
Sentiment analysis of urdu language: handling phrase-level negation
MICAI'11 Proceedings of the 10th Mexican international conference on Advances in Artificial Intelligence - Volume Part I
Associating targets with SentiUnits: a step forward in sentiment analysis of Urdu text
Artificial Intelligence Review
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The goal of sentiment analysis is to characterize texts in terms of the opinions and evaluations they express As such, a wide variety of different tasks have been addressed in the field However, there is not yet a clear consensus on how to formalize the notion of “sentiment” or “subjective language” The most commonly studied kind of subjective language in sentimant analysis is evaluative language, that which gives a positive or negative evaluation of some target (Although positioning language, which relates the position of one opinion holder with respect to those of other opinion holders and intentional language and some aspects of modality have also been included.)