Detecting Topics and Polarity From Twitter: A University Faculty Case-Reference-Cited by-同舟云学术

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Detecting Topics and Polarity From Twitter: A University Faculty Case

Published:2024 Issue: Volume:12 Page:148-156
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Ruíz Almudena Sánchez¹,Galan Daniel²^ORCID,García-Beltrán Ángel¹^ORCID,Rodríguez-Vidal Javier¹^ORCID

Affiliation:

1. Departamento de Automática, , Ingeniería Eléctrica y Electrónica e Informática Industrial, Escuela Técnica Superior de Ingenieros Industriales, Universidad Politécnica de Madrid, Madrid, Spain

2. Centre for Automation and Robotics (UPM-CSIC), Universidad Politécnica de Madrid, Madrid, Spain

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/10380310/10373020.pdf?arnumber=10373020

Reference43 articles.

1. Automatic detection of influencers in social networks: Authority versus domain signals

2. A word embedding topic model for topic detection and summary in social networks

3. Twitter news classification using SVM

4. Measurement of clustering effectiveness for document collections

5. Support vector machine

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Twitter Scraping and Sentiment Analysis on Stock Price;2024 International Conference on Advances in Data Engineering and Intelligent Computing Systems (ADICS);2024-04-18

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