Noytext: A Web platform to annotate social media documents on noise perception for their use in opinion mining research

Gascó Sánchez, Luis and Asensio Rivera, César and Arcas Castro, Guillermo de and Clavel, Chloé (2019). Noytext: A Web platform to annotate social media documents on noise perception for their use in opinion mining research. In: "Inter Noise 2019: Noise control for a better environment", 16 al 19 de junio de 2019, Madrid (España). pp. 1-8.

Description

Title: Noytext: A Web platform to annotate social media documents on noise perception for their use in opinion mining research
Author/s:
  • Gascó Sánchez, Luis
  • Asensio Rivera, César
  • Arcas Castro, Guillermo de
  • Clavel, Chloé
Item Type: Presentation at Congress or Conference (Article)
Event Title: Inter Noise 2019: Noise control for a better environment
Event Dates: 16 al 19 de junio de 2019
Event Location: Madrid (España)
Title of Book: Proceedings of Internoise 2019
Date: 2019
Subjects:
Freetext Keywords: Text mining; Community engagement; Noise annoyance
Faculty: E.T.S.I. y Sistemas de Telecomunicación (UPM)
Department: Teoría de la Señal y Comunicaciones
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Abstract

Boost of online social networks has demonstrated that some people are willingto share their views about everyday problems, including noise. With the advent ofNatural Language Processing and Machine Learning technologies to the majority ofthe scientific fields, we have begun to analyze the textual content of social media, andmore specifically online social networks, to extract insights about the noise attitudeof the population that uses this channel to express their opinion in this matter.Some of the state-of-the-art algorithms, such as deep neural networks, aresupervised machine learning algorithms.This means that researchers have toprovide a set of labelled training data to build new models. The annotation processis known as one of the most time-costly tasks in a data science pipeline, sinceresearchers among other thigs have to test the agreement between annotators and tomeasure the quality of the categories they had previously defined. For that reasonin this paper, we introduce Noytext which is a customizable web tool to annotatetexts from your database, that can be deployed in your own webserver and you canuse to request help from colleagues and collaborators in the annotation process in afriendly way.

More information

Item ID: 65052
DC Identifier: https://oa.upm.es/65052/
OAI Identifier: oai:oa.upm.es:65052
Deposited by: Memoria Investigacion
Deposited on: 08 Feb 2021 11:34
Last Modified: 08 Feb 2021 11:34
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