research data . Dataset . 2014

The USAGE review corpus for fine-grained, multi-lingual opinion analysis

Name: The USAGE review corpus for fine-grained, multi-lingual opinion analysis
Creator: Klinger, Roman
Keywords: 006, Text Mining, Natural Language Processing, Relation Extraction, Corpus, Machine Learning, Reviews, Sentiment Analysis

Klinger, Roman;

Open Access

Published: 01 Jan 2014

Publisher: Bielefeld University

Country: Germany

Summary

Abstract

This corpus consists of annotations of Amazon reviews for different product categories in the languages German and English. The reviews themselves are not part of this data publication. The annotations are fine-grained, including aspects and subjective phrases. In addition, the relation of an aspect to be a target of a subjective phrase is provided as well as the polarity of the subjective phrase. The corpus consists of 622 English and 611 German reviews for coffee machines, cuterly, microwaves, toaster, trash cans, vacuum cleaner, washing machines and dishwasher. The English corpus is annotated with more than 8000 aspects and 5000 subjective phrases, the German...

doi: 10.4119/unibi/2664575

Subjects

free text keywords: 006, Text Mining, Natural Language Processing, Relation Extraction, Corpus, Machine Learning, Reviews, Sentiment Analysis

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