Semantic analysis based on ontology and deep learning for a chatbot to assist persons with personality disorders on Twitter
Bibliographic Data
| ID | 21452872 |
|---|---|
| Authors | Mourad Ellouze (0000-0001-7831-5318, University of Sfax, corresponding author), Lamia Hadrich Belguith (0000-0002-5063-9246, University of Sfax) |
| Year | 2025 |
| Volume | 44 |
| Issue | 10 |
| Pages | 2140-2159 |
| Publication date | 2025-06-15 |
| Open Access | No |
| Type | ARTICLE |
| Venue | Behaviour and Information Technology (JOURNAL) |
| Journal identifiers | ISSN: 0144-929X • E-ISSN: 1362-3001 |
| Publisher | Informa UK Limited (PUBLISHER • GB) |
| DOI | 10.1080/0144929x.2023.2272757 |
| OpenAlex | W4387971780 |
| Language | EN |
| Citations received | 3 |
| References cited | 46 |
This paper presents a chatbot taking advantage of semantic analysis based on ontology and deep learning techniques for ensuring the monitoring of Twitter users with personality disorders during the period of COVID-19. The monitoring provided by our work consists of (i) removing inappropriate tweets from the newsfeed of the sick person according to their state, (ii) providing via a chatbot an answer to the sick person in the form of another tweet that can help him to overcome their concerns about a problem related to the epidemic. Our approach was started by detecting people having personality disorders on Twitter, followed by detecting their behaviour towards COVID-19 expressed in tweets posted in relation to this epidemic. After that, moving to perform the filtration and the recommendation tasks of tweets based on a semantic analysis. Our semantic analysis is achieved at first by querying an ontology based on a comparison taking into account concepts and behaviour expressed. Then, via a deep learning approach in order to resolve untreated cases by the ontology. For the evaluation part, we obtained an F-measure value equals to 72% for the task of filtering inappropriate tweets and 75% for the task of recommended tweet
Chatbot · Data mining · Deep learning · Information retrieval · Natural language processing · Ontology · Personality · Relation (database) · Semantic analysis (machine learning) · Semantics (computer science) · Task (project management) · World Wide Web · Artificial Intelligence · Computer Science · Digital Mental Health Interventions · Engineering · Mental Health via Writing · Misinformation and Its Impacts · Psychology · Social Psychology
| Citations per year | 3 |
|---|---|
| Citation span | 2025 - 2025 (1) |
| Highly cited | No |