Sentiment Analysis for Education with R: packages, methods and practical applications

Fuente: arXiv
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Autori principali: Misuraca, Michelangelo, Forciniti, Alessia, Scepi, Germana, Spano, Maria
Natura: Preprint
Pubblicazione: 2020
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author Misuraca, Michelangelo
Forciniti, Alessia
Scepi, Germana
Spano, Maria
author_facet Misuraca, Michelangelo
Forciniti, Alessia
Scepi, Germana
Spano, Maria
contents Sentiment Analysis (SA) refers to a family of techniques at the crossroads of statistics, natural language processing, and computational linguistics. The primary goal is to detect the semantic orientation of individual opinions and comments expressed in written texts. There are several practical applications of SA in several domains. In an educational context, the use of this approach allows processing students' feedback, aiming at monitoring the teaching effectiveness of instructors and enhancing the learning experience. This paper wants to review the different R packages that can be used to carry on SA, comparing the implemented methods, discussing their characteristics, and showing how they perform by considering a simple example.
format Preprint
id arxiv_https___arxiv_org_abs_2005_12840
institution arXiv
publishDate 2020
record_format arxiv
spellingShingle Sentiment Analysis for Education with R: packages, methods and practical applications
Misuraca, Michelangelo
Forciniti, Alessia
Scepi, Germana
Spano, Maria
Information Retrieval
Applications
Computation
62-01, 62-04, 62P25
D.3.3; H.5.2; J.4
Sentiment Analysis (SA) refers to a family of techniques at the crossroads of statistics, natural language processing, and computational linguistics. The primary goal is to detect the semantic orientation of individual opinions and comments expressed in written texts. There are several practical applications of SA in several domains. In an educational context, the use of this approach allows processing students' feedback, aiming at monitoring the teaching effectiveness of instructors and enhancing the learning experience. This paper wants to review the different R packages that can be used to carry on SA, comparing the implemented methods, discussing their characteristics, and showing how they perform by considering a simple example.
title Sentiment Analysis for Education with R: packages, methods and practical applications
topic Information Retrieval
Applications
Computation
62-01, 62-04, 62P25
D.3.3; H.5.2; J.4
url https://arxiv.org/abs/2005.12840