A low-resources approach to Opinion Analysis: Machine Learning and Simple Approaches
作者： David Kirk Evans
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摘要: In this paper I present a system for automatic opinion analysis built in short time-frame using freely available open-source processing tools and lexical resources from prior research. use simple feature-set that is largely language independent machine-learning framework to model the subtasks as classification problems report on my system’s performance. Additionally, show blind relevance feedback improves results sentencelevel judgment. My shows it possible quickly build an period of time can perform at average level.
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