Abstract
Festivals are an important leisure activity in the life of human beings. As a matter of fact, the organizers of festivals are interested in offering quality activities that allow them to position themselves in the entertainment market. To achieve this aim, the organizers use surveys to obtain a global opinion of the participants focusing on three key points: motivation, perception, and valuation. This method is tedious to perform and is timeconsuming. In this effort, we present a complete process that enables to automatically obtaining an overall appreciation of
a festival from tweets shared by participants. The aim of this contribution is to replace the surveys by the textual analysis of messages posted on social networks. The precision obtained in our experiments highlight the relevance of our proposal.
a festival from tweets shared by participants. The aim of this contribution is to replace the surveys by the textual analysis of messages posted on social networks. The precision obtained in our experiments highlight the relevance of our proposal.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the 2017 Future Technologies Conference (FTC) |
| Place of Publication | Vancouver |
| Pages | 510-514 |
| ISBN (Electronic) | 9780989319355 |
| State | Published - Nov 2017 |
| Event | Future Technologies Conference (FTC) 2017 - Vancouver, Canada Duration: 29 Nov 2017 → 30 Nov 2017 https://saiconference.com/Conferences/FTC2017 |
Conference
| Conference | Future Technologies Conference (FTC) 2017 |
|---|---|
| Abbreviated title | FTC |
| Country/Territory | Canada |
| City | Vancouver |
| Period | 29/11/17 → 30/11/17 |
| Internet address |
Keywords
- Sentiment analysis
- Machine learning algorithms
- Festival
- Survey analysis
