The Sanremo Festival is becoming increasingly social. And so, companies and content creators are also following the events of the festival to stay up-to-date on possible trends to exploit and opportunities to grow. In recent years, "FantaSanremo" - a game that involves viewers but also in competing singers - has been popular among young and old.
This project focuses on analyzing tweets related to the #FantaSanremo 2023 edition, and aims to analyze content, the most relevant hashtags, and sentiment related to the topic of interest.
The data were collected by web scraping, through the snscrape library used on Twitter. Starting with a pre-processing phase on the content of tweets, the project continued with a data exploration phase, analyzing the most frequent hashtags and other special features of the collected dataset. Next, sentiment analysis of the tweets was performed.
├── LICENSE
├── README.md
├── data
│ └── raw
├── notebooks
└── figures
- Clone this repo (for help see this tutorial).
- Data is being kept [/data/](Repo folder containing raw data) within this repo.
- Data processing/transformation scripts are being kept [/notebooks/](Repo folder containing data processing scripts/notebooks)
- Play with the data!