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

arXiv: https://arxiv.org/abs/2005.12840 · HTML: https://mlsanity.com/paper/2005.12840/

## Key facts

- Cited by 3 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 8 May 2020.

## Built on by (most cited first, 3 of 3)

- [OSN Dashboard Tool For Sentiment Analysis](https://mlsanity.com/paper/2206.06935/) (2022)
- [Political Sentiment Analysis of Persian Tweets Using CNN-LSTM Model](https://mlsanity.com/paper/2307.07740/) (2023)
- [Bloom-epistemic and sentiment analysis hierarchical classification in course discussion forums](https://mlsanity.com/paper/2402.01716/) (2024)

## Abstract (arXiv)

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.