nips nips2006 nips2006-101 nips2006-101-reference knowledge-graph by maker-knowledge-mining
Source: pdf
Author: Yi Mao, Guy Lebanon
Abstract: We examine the problem of predicting local sentiment flow in documents, and its application to several areas of text analysis. Formally, the problem is stated as predicting an ordinal sequence based on a sequence of word sets. In the spirit of isotonic regression, we develop a variant of conditional random fields that is wellsuited to handle this problem. Using the M¨ bius transform, we express the model o as a simple convex optimization problem. Experiments demonstrate the model and its applications to sentiment prediction, style analysis, and text summarization. 1
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