# Sentiment Analysis on the young people's perception about the mobile Internet costs in Senegal

arXiv: https://arxiv.org/abs/2504.13284 · HTML: https://mlsanity.com/paper/2504.13284/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- Builds on 8 of its 23 references that are in the map.
- First posted on arXiv 17 Apr 2025.

## Builds on (most cited first, 8 of 8)

- [Unsupervised Cross-lingual Representation Learning at Scale](https://mlsanity.com/paper/1911.02116/) (2019)
- [XLM-T: Multilingual Language Models in Twitter for Sentiment Analysis and Beyond](https://mlsanity.com/paper/2104.12250/) (2021)
- [A Survey of Code-switched Speech and Language Processing](https://mlsanity.com/paper/1904.00784/) (2019)
- [AfriSenti: A Twitter Sentiment Analysis Benchmark for African Languages](https://mlsanity.com/paper/2302.08956/) (2023)
- [IrokoBench: A New Benchmark for African Languages in the Age of Large Language Models](https://mlsanity.com/paper/2406.03368/) (2024)
- [Translation and Fusion Improves Zero-shot Cross-lingual Information Extraction](https://mlsanity.com/paper/2305.13582/) (2023)
- [Low-Resourced Machine Translation for Senegalese Wolof Language](https://mlsanity.com/paper/2305.00606/) (2023)
- [Beqi: Revitalize the Senegalese Wolof Language with a Robust Spelling Corrector](https://mlsanity.com/paper/2305.08518/) (2023)

## Built on by (most cited first, 1 of 1)

- [Opportunities and Challenges of Natural Language Processing for Low-Resource Senegalese Languages in Social Science Research](https://mlsanity.com/paper/2601.09716/) (2025)

## Abstract (arXiv)

Internet penetration rates in Africa are rising steadily, and mobile Internet is getting an even bigger boost with the availability of smartphones. Young people are increasingly using the Internet, especially social networks, and Senegal is no exception to this revolution. Social networks have become the main means of expression for young people. Despite this evolution in Internet access, there are few operators on the market, which limits the alternatives available in terms of value for money. In this paper, we will look at how young people feel about the price of mobile Internet in Senegal, in relation to the perceived quality of the service, through their comments on social networks. We scanned a set of Twitter and Facebook comments related to the subject and applied a sentiment analysis model to gather their general feelings.