Tag: Generative

Fake News Detection | Social Media Platforms

Application of the Fake News Detection Model for Social Media Platforms (With Voice Differentiation)    Use Case: Real-Time Identification and Blocking of Fake News Posted by Users or Content Groups      Market: Social media platforms such as Facebook, Twitter, TikTok, etc.    In the current social media ecosystem, where posts and user-generated content can […]

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Fake News Detection | Non-Governmental Organizations (NGOs)

Application of the Fake News Detection Model for Non-Governmental Organizations (NGOs)    Use Case: Detection of Misinformation Related to Social Impact Issues such as Climate Change, Human Rights, or Public Health      Market: NGOs, international organizations, and development agencies.    In critical issues such as climate change, human rights, and public health, misinformation can […]

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Fake News Detection | Public Relations and Marketing Companies

Application of the Fake News Detection Model for Public Relations and Marketing Companies (With Voice Differentiation)    Use Case: Reputation Monitoring and Detection of Fake News that May Affect a Company or Public Figure’s Image      Market: Public relations, marketing, and reputation management companies.    In an environment where fake news can severely affect […]

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Fake News Detection | Governments and Public Organizations

Application of the Fake News Detection Model for Governments and Public Organizations (With Multimodal Processing and Voice Differentiation)    Use Case: Monitoring Disinformation Campaigns That May Interfere with Elections, Public Health Crises, or Major Events  Market: Communication ministries, electoral bodies, cybersecurity agencies. In critical moments such as elections, public health crises, or natural disasters, disinformation […]

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Fake News Detection | Cybersecurity Companies

Application of the Fake News Detection Model for Cybersecurity Companies (With Multimodal Processing and Voice Differentiation)    Use Case: Detection of Fake News in Phishing Campaigns or Disinformation Cyberattacks     Market: Cybersecurity companies, monitoring platforms, and defense against cyberattacks.   In today’s digital environment, phishing attacks and disinformation campaigns have become a constant threat […]

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Fake News Detection | Education and E-Learning Platforms 

Application of the Fake News Detection Model for Education and E-Learning Platforms    Use Case: Validation of Educational Content and Detection of Misinformation on Online Learning Platforms      Market: Universities, e-learning platforms, educational centers   In the education and e-learning sector, the accuracy and quality of educational content are crucial to ensure that students […]

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Chatbot Detector | Patients During Remote Consultations

Emotion and Intention Detection of Patients During Remote Consultations Using the API REST /virtualbot/sentiment/sentiment_analisys     Market: Clinics, hospitals, telemedicine platforms.     Description:  The API REST /virtualbot/sentiment/sentiment_analisys, which utilizes advanced OCR and a multimodal LLM, enables real-time analysis of patients’ emotions and intentions during remote consultations through telemedicine. This analysis provides healthcare professionals with […]

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Chatbot Detector | Related to Claims and Policies

Evaluation of Emotions and Intentions in Interactions Related to Claims and Policies Using the API REST /virtualbot/sentiment/sentiment_analisys      Market: Insurance companies, claims adjusters.      Description:  The API REST /virtualbot/sentiment/sentiment_analisys, using advanced OCR and a multimodal LLM, allows real-time analysis of customers’ emotions and intentions during their interactions with insurance companies. The emotional analysis […]

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Chatbot Detector | Customer-Financial Advisor Interactions

Emotion and Intention Analysis in Customer-Financial Advisor Interactions Using the REST API /virtualbot/sentiment/sentiment_analisys    Market: Banks, insurance companies, fintechs.      Description:  The REST API /virtualbot/sentiment/sentiment_analisys, utilizing advanced OCR and a multimodal LLM, enables real-time analysis of customers’ emotions and intentions during their interactions with financial advisors. This analysis detects emotions such as frustration, confusion, […]

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Chatbot Detector | Customer Service Interactions

Evaluation of Customer Service Interactions Using the REST API /virtualbot/sentiment/sentiment_analysis     Market: Companies with high volumes of customer interactions (banks, telecommunications, utilities).     Description:  The REST API /virtualbot/sentiment/sentiment_analysis, which utilizes advanced OCR and a multimodal LLM, allows real-time analysis of customer service interactions. Sentiment analysis can detect frustration, confusion, or satisfaction, while intent […]

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