Using SAS? software to enhance pedagogy for Text Mining and Sentiment Analysis using social media (Twitter?) data

Subramanian Ramesh; Cote Danielle

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Using SAS? software to enhance pedagogy for Text Mining and Sentiment Analysis using social media (Twitter?) data

机译：使用SAS？该软件可增强使用社交媒体（Twitter？）数据进行文本挖掘和情感分析的教学法

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This pedagogical paper describes how a graduate course in Text Mining was developed and taught in a fully online format at Quinnipiac University. The software used was SAS? Enterprise Miner. This paper discusses the design, software used and the methodology followed in the course. A critical component of the course required the students to delve deep into social media data by completing a detailed project on analyzing sentiment analysis using large files of social media data. A sample report of this project, which was a key deliverable for the course, is described at length in this paper.

机译：这份教学论文描述了Quinnipiac大学如何开发和教授完全在线形式的文本挖掘研究生课程。使用的软件是SAS？企业矿工。本文讨论了本课程中的设计，使用的软件和遵循的方法。该课程的关键组成部分要求学生通过完成有关使用大型社交媒体数据文件进行情感分析的详细项目，来深入研究社交媒体数据。本文详细介绍了该项目的示例报告，这是该课程的关键成果。

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《Journal of International Technology and Information Management》 |2018年第2期|共26页
作者
Subramanian Ramesh; Cote Danielle;
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正文语种
中图分类管理学;
关键词
Text MiningSentiment AnalysisSocial mediaData MiningSAS;

机译：文本挖掘情感分析社交媒体数据挖掘SAS;

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Using SAS? software to enhance pedagogy for Text Mining and Sentiment Analysis using social media (Twitter?) data

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