Contextual Valence Shifting
March 24th, 2009 | Published in Machine Learning
I have been reading up on Contextual Valence Shifting and I came across two interesting papers I thought I would share.
In a nutshell Valence Shifting helps determine if a given sentence has a positive or negative tone.
In addition to describing facts and events, texts often communicate information about the attitude of the writer or various participants towards an event being described. Salient clues about attitude are provided by the lexical choice of the writer but, as discussed below, the organization of the text also contributes critical information for attitude assessment.
Contextual Valence Shifters by Livia Polanyi and Annie Zaenen [pdf]
“I Can’t Recommend This Paper Highly Enoughâ€: Valence-Shifted Sentences in Sentiment Classification by Logan Dillard
Related Posts
Cryptanalysis Using n-Gram ProbabilitiesApriori Algorithm
K-Means Document Clustering
Latent Semantic Indexing
Singular Value Decomposition