Training Data for German Sentiment Analysis of Political Communication (SUF edition)
收藏AUSSDA - Austrian Social Science Data Archive2020-01-01 更新2026-05-11 收录
下载链接：
https://data.aussda.at/citation?persistentId=doi:10.11587/EOPCOB
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资源简介：
Full edition for scientific use. The dataset contains 125871 sentences extracted from Austrian parliamentary debates and party press releases. Press releases were collected under the auspices of the Austrian National Election Study (AUTNES) and cover 6 weeks prior to each national election 1995-2013. Data from parliamentary debates stem from a random sample of sentences drawn from sessions of the Austrian National Council (1995-2013). The sentiment of the sentences was crowdcoded on a five-point-scale ranging from 0 “Not negative” to 5 “Very strongly negative”. As each sentence has been coded by ten coders, there are multiple codingids for each unitid (sentence).
提供机构：
University of Innsbruck; University of Vienna
创建时间：
2020-01-01
