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AI-Based Fake News Detection (25AI107)
The AI-Based Fake News Detection system leverages advanced text classification and NLP models to identify and flag misleading information across social networks.
Why Build This System?
- Prevents digital rumor propagation
- Ensures authentic media streams
Key Features
- Text classification layers
- Source verification index
System Basics
Articles are tokenized, processed for linguistic exaggerations, and checked against trusted databases to evaluate factual context percentages.
Code Snippet:
# Vectorized text classification setup
from sklearn.feature_extraction.text import TfidfVectorizer
print("NLP Vectorizer initialized.")Learning Outcomes:
- Gain text vectorization expertise
- Implement passive content validation filters