Ryanair
Description
Beginning March 14th, 2021, Ryanair's official Twitter handle has been receiving weekly messages sent via the Twitter API. Since that time, these messages have been recorded consistently. Data collection was officially terminated on September 13th, 2021, as a substantial amount of data had been obtained by that time. We applied Twitter to create the Twitter API record during the data extraction phase. As a result of their evaluations, API login information such as API key, API secret, and Access token were obtained. These data can be used to access Twitter data by logging in with the appropriate tools. The tweets of Ryanair were processed using a program called Knime, which is one of the useful programs. The Knime program was utilized to input 'ryanair' and 'askryanair' accounts into the system, and the data was recorded weekly. At first, we started collecting all the information in English. Moreover, efforts were taken to ensure that the entire data was in a uniform language. The data that we obtained was recorded in CSV format. The data has been successfully imported into Anaconda. To analyze the data, we utilized Python code in Jupyter Notebook.
Files
Steps to reproduce
Beginning March 14th, 2021, Ryanair's official Twitter handle has been receiving weekly messages sent via the Twitter API. Since that time, these messages have been recorded consistently. Data collection was officially terminated on September 13th, 2021, as a substantial amount of data had been obtained by that time. We applied Twitter to create the Twitter API record during the data extraction phase. As a result of their evaluations, API login information such as API key, API secret, and Access token were obtained. These data can be used to access Twitter data by logging in with the appropriate tools. The tweets of Ryanair were processed using a program called Knime, which is one of the useful programs. The Knime program was utilized to input 'ryanair' and 'askryanair' accounts into the system, and the data was recorded weekly. At first, we started collecting all the information in English. Moreover, efforts were taken to ensure that the entire data was in a uniform language. The data that we obtained was recorded in CSV format. The data has been successfully imported into Anaconda. To analyze the data, we utilized Python code in Jupyter Notebook.