Transfer Learning with Social Media Content in the Ride-Hailing Domain by Using a Hybrid Machine Learning Architecture
The analysis of the content of posts written on social media has established an important line of research in recent years. The study of these texts, as well as their relationship with each other and their dependence on the platform on which they are written, enables the behavior analysis of users a...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2022-01-01
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| Series: | Electronics |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2079-9292/11/2/189 |
| _version_ | 1797494502861045760 |
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| author | Álvaro de Pablo Oscar Araque Carlos A. Iglesias |
| author_facet | Álvaro de Pablo Oscar Araque Carlos A. Iglesias |
| author_sort | Álvaro de Pablo |
| collection | DOAJ |
| description | The analysis of the content of posts written on social media has established an important line of research in recent years. The study of these texts, as well as their relationship with each other and their dependence on the platform on which they are written, enables the behavior analysis of users and their opinions with respect to different domains. In this work, a hybrid machine learning-based system has been developed to classify texts using topic modeling techniques and different word-vector representations, as well as traditional text representations. The system has been trained with ride-hailing posts extracted from Reddit, showing promising performance. Then, the generated models have been tested with data extracted from other sources such as Twitter and Google Play, classifying these texts without retraining any models and thus performing Transfer Learning. The obtained results show that our proposed architecture is effective when performing Transfer Learning from data-rich domains and applying them to other sources. |
| first_indexed | 2024-03-10T01:35:14Z |
| format | Article |
| id | doaj.art-2012eeb07799436b80fc58e76b3cd110 |
| institution | Directory Open Access Journal |
| issn | 2079-9292 |
| language | English |
| last_indexed | 2024-03-10T01:35:14Z |
| publishDate | 2022-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Electronics |
| spelling | doaj.art-2012eeb07799436b80fc58e76b3cd1102023-11-23T13:33:41ZengMDPI AGElectronics2079-92922022-01-0111218910.3390/electronics11020189Transfer Learning with Social Media Content in the Ride-Hailing Domain by Using a Hybrid Machine Learning ArchitectureÁlvaro de Pablo0Oscar Araque1Carlos A. Iglesias2Intelligent Systems Group, Universidad Politécnica de Madrid, 28025 Madrid, SpainIntelligent Systems Group, Universidad Politécnica de Madrid, 28025 Madrid, SpainIntelligent Systems Group, Universidad Politécnica de Madrid, 28025 Madrid, SpainThe analysis of the content of posts written on social media has established an important line of research in recent years. The study of these texts, as well as their relationship with each other and their dependence on the platform on which they are written, enables the behavior analysis of users and their opinions with respect to different domains. In this work, a hybrid machine learning-based system has been developed to classify texts using topic modeling techniques and different word-vector representations, as well as traditional text representations. The system has been trained with ride-hailing posts extracted from Reddit, showing promising performance. Then, the generated models have been tested with data extracted from other sources such as Twitter and Google Play, classifying these texts without retraining any models and thus performing Transfer Learning. The obtained results show that our proposed architecture is effective when performing Transfer Learning from data-rich domains and applying them to other sources.https://www.mdpi.com/2079-9292/11/2/189social mediaartificial intelligenceNLPmachine learningtopic modelingride-hailing |
| spellingShingle | Álvaro de Pablo Oscar Araque Carlos A. Iglesias Transfer Learning with Social Media Content in the Ride-Hailing Domain by Using a Hybrid Machine Learning Architecture Electronics social media artificial intelligence NLP machine learning topic modeling ride-hailing |
| title | Transfer Learning with Social Media Content in the Ride-Hailing Domain by Using a Hybrid Machine Learning Architecture |
| title_full | Transfer Learning with Social Media Content in the Ride-Hailing Domain by Using a Hybrid Machine Learning Architecture |
| title_fullStr | Transfer Learning with Social Media Content in the Ride-Hailing Domain by Using a Hybrid Machine Learning Architecture |
| title_full_unstemmed | Transfer Learning with Social Media Content in the Ride-Hailing Domain by Using a Hybrid Machine Learning Architecture |
| title_short | Transfer Learning with Social Media Content in the Ride-Hailing Domain by Using a Hybrid Machine Learning Architecture |
| title_sort | transfer learning with social media content in the ride hailing domain by using a hybrid machine learning architecture |
| topic | social media artificial intelligence NLP machine learning topic modeling ride-hailing |
| url | https://www.mdpi.com/2079-9292/11/2/189 |
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