Transfer Learning for Harmful Content Detection
This book provides an in-depth exploration of the effectiveness of transfer learning approaches in detecting deceptive content (i.e., fake news) and inappropriate content (i.e., hate speech). The author first addresses the issue of insufficient labeled data by reusing knowledge gained from other nat...
में बचाया:
| मुख्य लेखक: | |
|---|---|
| निगमित लेखक: | |
| स्वरूप: | इलेक्ट्रोनिक ई-पुस्तक |
| भाषा: | अंग्रेज़ी |
| प्रकाशित: |
Cham :
Springer Nature Switzerland : Imprint: Springer,
2025.
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| संस्करण: | 1st ed. 2025. |
| श्रृंखला: | T-Labs Series in Telecommunication Services,
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| विषय: | |
| ऑनलाइन पहुंच: | https://doi.org/10.1007/978-3-032-00850-3 |
| टैग: |
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विषय - सूची:
- Introduction
- Background
- The Impact of Pre-processing on Fake News Detection
- Transfer Learning for Harmful Content Detection
- Sentiment Analysis and Fake News Detection
- Outlook
- Conclusion.