A generic approach to generate opinion lists of phrases for opinion mining applications
作者： Sven Rill , Jörg Scheidt , Johannes Drescher , Oliver Schütz , Dirk Reinel
关键词: Natural language processing 、 Sentiment analysis 、 Computer science 、 Tree root 、 Adjective 、 Artificial intelligence
摘要: In this paper we present an approach to generate lists of opinion bearing phrases with their values in a continuous range between -- 1 and 1. Opinion that are considered include single adjectives as well adjective-based arbitrary number words. The derived from user review titles star ratings, both can be regarded summaries the user's about product under review. Phrases organized trees adjective tree root. For missing branches, then calculated using similar branches but different roots. An example list is produced compared existing lists.
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