...
  • 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Ergonomics in design: The magazine of human factors applications >SPSS Text Analysis for Surveys (v. 2.0)
【24h】

SPSS Text Analysis for Surveys (v. 2.0)

机译：SPSS问卷调查文字分析（v。2.0）

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

If you're like me, you're sick and tired of manually coding open-ended or qualitative survey responses. For the past several years, I have been on the lookout for a good piece of software that would automate this process for me. I believe I have found such a candidate. SPSS Text Analysis for Surveys (or STAFS) partly automates the process of categorizing or coding responses to open-ended survey questions. Several methods for automating this process have been developed by software vendors. Common approaches are based on statistical algorithms, neural networks, and other techniques that include specific rule-based processes. The down side to these techniques is that they require considerable expertise to use, and the underlying technologies are unavailable to most users. Perhaps more important, the accuracy of analyzing text using these particular methods is fairly low. Automated linguistics-based solutions to text analysis, the second most popular approach, considers both grammatical structures and meaning. This method relies on natural language processing (NLP) or computational linguistics. Linguistics-based text mining typically results in more reliable and useful results.
机译：如果您像我一样，就讨厌手动编写开放式或定性调查问卷。在过去的几年中，我一直在寻找一款可以自动完成该过程的优秀软件。我相信我已经找到了这样的候选人。 SPSS问卷调查的文本分析（或STAFS）部分地自动化了对开放式问卷调查问题的分类或编码过程。软件供应商已经开发出几种使该过程自动化的方法。通用方法基于统计算法，神经网络和其他技术，其中包括基于规则的特定过程。这些技术的缺点是它们需要大量的专业知识才能使用，而大多数用户都无法使用基础技术。也许更重要的是，使用这些特定方法分析文本的准确性相当低。第二种最受欢迎​​的方法是基于自动语言学的文本分析解决方案，它同时考虑了语法结构和含义。此方法依赖于自然语言处理（NLP）或计算语言学。基于语言学的文本挖掘通常会产生更可靠和有用的结果。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号