首页> 外文OA文献 >Analyzing qualitative feedback using sentiment analysis / Muhammad Mazuan Mahmood
【2h】

Analyzing qualitative feedback using sentiment analysis / Muhammad Mazuan Mahmood

机译:使用情感分析来分析定性反馈/穆罕默德·马祖安·马哈茂德(Muhammad Mazuan Mahmood)

代理获取
本网站仅为用户提供外文OA文献查询和代理获取服务,本网站没有原文。下单后我们将采用程序或人工为您竭诚获取高质量的原文,但由于OA文献来源多样且变更频繁,仍可能出现获取不到、文献不完整或与标题不符等情况,如果获取不到我们将提供退款服务。请知悉。

摘要

This paper aims to create a system to automated qualitative feedback analysis based on response in the survey. It is a promising technique to analyse the respondent textual responses by saving time and more efficiency than manual tally. This automated system can gain additional useful information to instructor performance evaluation from the respondent’s perspective. The survey data were collected from Office of Student Affair based on program organized by them. Using Naïve Bayes technique, the response ware tokenized to single word. Every words called lexicon have their own value. The value of the lexicons were taken from list of AFFIN words. These words have either positive or negative value. Naïve Bayes treat each response as a bag of word. The points for each words are added to get the total point for each response. To get the value of the words, it was compared to the list and take their value. The result was analysed based on the total point for each questions and for overall evaluation. The top five highest point are viewed based on its positivity or negativity.
机译:本文旨在创建一个基于调查响应的自动定性反馈分析系统。通过节省时间和比手动提示更有效的方式来分析受访者的文本回复是一种很有前途的技术。从受访者的角度来看,该自动化系统可以获取更多有用的信息,以评估教师的表现。调查数据是根据他们组织的计划从学生事务办公室收集的。使用朴素贝叶斯技术,响应软件标记为单个单词。每个称为“词典”的词都有其自身的价值。词典的值取自AFFIN单词列表。这些词具有正值或负值。朴素的贝叶斯将每个回应视为一句话。将每个单词的分数相加以获得每个响应的总分数。为了获得单词的价值,将其与列表进行比较并获取其价值。根据每个问题的总分分析结果,并进行总体评估。根据其积极性或消极性来查看前五个最高点。

著录项

  • 作者

    Mahmood Muhammad Mazuan;

  • 作者单位
  • 年度 2017
  • 总页数
  • 原文格式 PDF
  • 正文语种 en
  • 中图分类

相似文献

  • 外文文献
  • 中文文献
  • 专利

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