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http://infotec.repositorioinstitucional.mx/jspui/handle/1027/524| A Python Library for Exploratory Data Analysis on Twitter Data based on Tokens and Aggregated Origin-Destination Information | |
| MARIO GRAFF GUERRERO SABINO MIRANDA JIMENEZ | |
| DANIELA MOCTEZUMA GARCIA | |
| Acceso Abierto | |
| Atribución-NoComercial-CompartirIgual | |
| https://www.sciencedirect.com/science/article/pii/S0098300421002946 | |
| Python (Lenguaje de programación para computadora) Programas de código abierto para computadoras Twitter (Softwareplattform) | |
| Twitter is perhaps the social media more amenable for research. It requires only a few steps to obtain information, and there are plenty of libraries that can help in this regard. Nonetheless, knowing whether a particular event is expressed on Twitter is a challenging task that requires a considerable collection of tweets. This proposal aims to facilitate, to a researcher interested, the process of mining events on Twitter by opening a collection of processed information taken from Twitter since December 2015. The events could be related to natural disasters, health issues, and people’s mobility, among other studies that can be pursued with the library proposed. Different applications are presented in this contribution to illustrate the library’s capabilities: an exploratory analysis of the topics discovered in tweets, a study on similarity among dialects of the Spanish language, and a mobility report on different countries. In summary, the Python library presented is applied to different domains and retrieves a plethora of information in terms of frequencies by day of words and bi-grams of words for Arabic, English, Spanish, and Russian languages. As well as mobility information related to the number of travels among locations for more than 200 countries or territories. | |
| INFOTEC Centro de Investigación e Innovación en Tecnologías de la Información y Comunicación CONACyT Consejo Nacional de Ciencia y Tecnología CentroGEO Centro de Investigación en Ciencias de Información Geoespacial, Circuito Tecnopolo Norte | |
| 24-11-2021 | |
| Artículo | |
| Graff Mario ; Moctezuma Daniela ; Sabino Miranda ; S. Téllez Eric. (2021). A Python Library for Exploratory Data Analysis on Twitter Data based on Tokens and Aggregated Origin-Destination Information. Sciencedirect. https://www.sciencedirect.com/sci | |
| Español | |
| INFORMÁTICA | |
| Versión publicada | |
| publishedVersion - Versión publicada | |
| Aparece en las colecciones: | Artículos |
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| Fichero | Descripción | Tamaño | Formato | |
|---|---|---|---|---|
| A Python Library for Exploratory Data Analysis on Twitter.pdf | 2.47 MB | Adobe PDF | Visualizar/Abrir |