서울대학교 빅데이터 지식정보플랫폼
전체 메뉴
AI 검색
최근 확인한 콘텐츠
17건 더보기
loading...
반출리포트 생성
논문 목록
Using Sentiment Analysis to Analyze the Feedback of Students with Open-ended Questions
저자
임병학, 강현주, 엄성원, SRIJAN KUMAR
학술지명
인문사회과학연구
출판/발행연도
2020
주제
요약
본 연구는 개방형 질문에 대한 학생 피드백을 감성 분석 방법을 통해 분석하여 학생들의 강의에 대한 선호도를 측정하고 강의 질을 평가했습니다. 감성 분석 결과 긍정적인 의견이 82.2%를 차지했으며, NBC 방법을 사용한 머신러닝 모델은 0.96 이상의 정확도, 재현율, 정밀도를 보였습니다.
연관 콘텐츠
LikeSNU에서 의미기반으로 분석하여 연관된 자료를 추천해드립니다.
-
Sentiment analysis and opinion mining
-
Sentiment analysis : mining opinions, sentiments, and emotions
-
Assessment alternatives in mathematics : an overview of assessment techniques that promote learning
-
The Art of thinking
-
Conducting sentiment analysis
-
Educational data mining : applications and trends
-
Designing tests for evaluating student achievement
-
Assessment methods in statistical education : an international perspective
-
Psychology : a student's handbook
-
Exploring child development : transactions and transformations
-
Semantic sentiment analysis in social streams
-
Reading statistics and research.
-
Molecular biology : structure and dynamics of genomes and proteomes
-
Molecular biology : structure and dynamics of genomes and proteomes
-
Motor control in everyday actions
-
Addressing Global Challenges and Quality Education : 15th European Conference on Technology Enhanced Learning, EC-TEL 2020, Heidelberg, Germany, September 14–18, 2020, Proceedings
-
Informal reading-thinking inventory : an informal reading inventory (IRI) with options for assessing additional elements of higher-order literacy
-
Nursing research : generating and assessing evidence for nursing practice
-
Democratic policymaking : an analytic approach
-
Quality assurance in analytical chemistry
이전
다음
이전
다음