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Development of a YouTube videos feelings analiser = Desarrollo de un analizador de sentimientos de videos de Youtube
Cita
Valle Salas, José Miguel del
(2018).
Development of a YouTube videos feelings analiser = Desarrollo de un analizador de sentimientos de videos de Youtube.
Trabajo Fin de Grado / Proyecto Fin de Carrera, E.T.S.I. Telecomunicación (UPM), Madrid.
Descripción
| Título: | Development of a YouTube videos feelings analiser = Desarrollo de un analizador de sentimientos de videos de Youtube |
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| Autor/es: |
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| Director/es: |
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| Tipo de Documento: | Trabajo Fin de Grado o Proyecto Fin de Carrera |
| Grado: | Grado en Ingeniería de Tecnologías y Servicios de Telecomunicación |
| Fecha: | 2018 |
| Materias: | |
| ODS: | |
| Palabras Clave Informales: | YouTube, Videos, Sentiments, D3.js, Luigi, Senpy, Polymer, Widgets. |
| Escuela: | E.T.S.I. Telecomunicación (UPM) |
| Departamento: | Ingeniería de Sistemas Telemáticos |
| Licencias Creative Commons: | Reconocimiento - Sin obra derivada - No comercial |
Resumen
Nowadays, Youtube is one of the most successful social networks, therefore it has more and more impact in our society.
Due to this it's quite useful to know the sentiments that this platform videos produces.
This project has been focused in the development of a tool able to analise this sentiments, which could be used for di�erent purposes like Market studies or emotional learning for people who has some functional diversity.
The technologies used during the project development has been:
- Luigi (Data extraction, formatting, analysis with senpy and sending to Elasticsearch.)
- D3.js (Analysed data displaying.)
- Polymer Web Components (Creation of reusable widgets for analysis displaying.)
The �nal result has been the creation of a sefarad-integrable dashboard which contains 3 widgets:
1) yt-video-widget: Displays the video which is going to be analised.
2) yt-sentiment-widget: Displays a graph with the results of the video subtitles analysis.
3) yt-comments-widget: Displays the video comments classi�ed by the sentiment produced.
Más información
| ID de Registro: | 49488 |
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| Identificador DC: | https://oa.upm.es/49488/ |
| Identificador OAI: | oai:oa.upm.es:49488 |
| Depositado por: | Biblioteca ETSI Telecomunicación |
| Depositado el: | 19 Feb 2018 14:15 |
| Ultima Modificación: | 19 Feb 2018 14:15 |
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