Publication: Aplicación web para la selección y clasificación de contenido en la red social Twitter
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2011-10
Defense date
2011-10-27
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Abstract
Que hoy en día existe muchísima información disponible en Internet para los usuarios no es algo nuevo, pero de aquí a unos años atrás se ha descubierto una fuerte tendencia al uso de las redes sociales como Twitter, la cual es altamente partícipe de que la información vaya aumentando cada día. Ante la afluencia de tal cantidad de información se complica la búsqueda y clasificación de lo que es verdaderamente relevante para el usuario. De esta dificultad nace este proyecto, cuyo objetivo principal es facilitar al usuario de la red social Twitter el filtrado y clasificación de la información. Este proyecto es una aplicación Web implementada en HTML 5 que consiste en permitir al usuario realizar búsquedas de contenido en Twitter. Este contenido viene representado en la aplicación como ‘tweets’, es decir, un conjunto de información compuesto de: un texto, un enlace al usuario de Twitter que lo creó y una imagen del mismo, entre otros campos. Además, estos tweets aparecerán ordenados cronológicamente del más reciente al más antiguo cuando se realice una búsqueda. La funcionalidad que ofrece esta aplicación se centra principalmente en tres acciones: La primera consiste en permitir arrastrar los tweets a dos zonas de clasificación que son personalizables, ya que permiten fijar un título de clasificación y una reorganización de los tweets ya clasificados. Por otro lado, la aplicación cuenta con botones de borrado para el descarte de la información, permitiendo eliminar los tweets de una zona de clasificación, de las dos o eliminar los tweets de manera individual. Y por último, se da la posibilidad al usuario de descargar la información clasificada, en un fichero con formato ‘pdf’ que contendrá la información de los tweets junto con el título de clasificación que haya fijado el usuario. Todo ello contando con un sistema de almacenamiento local que se encarga de guardar la información clasificada y recuperarla para que el usuario siempre la tenga disponible. ___________________________________________________________________________________________________________________________
Nowadays, it is not new that there is much information available online to users, and it recently has found a strong tendency to use the social networking site Twitter, which highly contributes in the increasing of such information every day. Taking this into account, the search and classification of information becomes very difficult in order to differentiate what is truly relevant to the user. This project is born on this difficulty, with the main objective to provide of mechanisms for filtering and classification of information to Twitter users. This project is a web application implemented in HTML 5 which allows the user to search content on Twitter. This content is represented in the application as 'tweets', i.e. a set of information consisting of: a text, a link to the Twitter user who created it and a picture of it, among others; besides, these tweets appear in a chronological order from newest to older when performing a search. The functionality provided by this application focuses primarily on three actions: The First action consists of allowing dragging tweets to two zones of classification that are personalized, since they allow setting a title of the classification and a reorganization of tweets already classified. On the other hand, the application has clear buttons for the disposal of information, allowing tweets to be removed from a zone classification or remove individual tweets by dragging them to the trash. And finally, it gives the user the possibility of downloading categorized information in a 'pdf' format file containing the information of the tweets with the title of classification laid down by the user. For achieving this, we use a local storage mechanism that is in charge of storing categorized information and recover it to the user when is required.
Nowadays, it is not new that there is much information available online to users, and it recently has found a strong tendency to use the social networking site Twitter, which highly contributes in the increasing of such information every day. Taking this into account, the search and classification of information becomes very difficult in order to differentiate what is truly relevant to the user. This project is born on this difficulty, with the main objective to provide of mechanisms for filtering and classification of information to Twitter users. This project is a web application implemented in HTML 5 which allows the user to search content on Twitter. This content is represented in the application as 'tweets', i.e. a set of information consisting of: a text, a link to the Twitter user who created it and a picture of it, among others; besides, these tweets appear in a chronological order from newest to older when performing a search. The functionality provided by this application focuses primarily on three actions: The First action consists of allowing dragging tweets to two zones of classification that are personalized, since they allow setting a title of the classification and a reorganization of tweets already classified. On the other hand, the application has clear buttons for the disposal of information, allowing tweets to be removed from a zone classification or remove individual tweets by dragging them to the trash. And finally, it gives the user the possibility of downloading categorized information in a 'pdf' format file containing the information of the tweets with the title of classification laid down by the user. For achieving this, we use a local storage mechanism that is in charge of storing categorized information and recover it to the user when is required.
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Desarrollo Web, Gestión de contenidos, Redes sociales, Recuperación de la información