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{
"id": "1",
"title": "Personalized Learning Path for Natural Language Processing",
"description": "This learning path is designed for beginners with no prior knowledge in Natural Language Processing (NLP) who prefer a visual learning style. The path aims to help learners achieve certification in NLP through a structured and visual approach.",
"topic": "Natural Language Processing",
"expertise_level": "beginner",
"learning_style": "visual",
"time_commitment": "moderate",
"duration_weeks": 12,
"goals": [
"Achieve Certification in Natural Language Processing"
],
"milestones": [
{
"title": "Introduction to NLP",
"description": "Basic concepts and overview of Natural Language Processing",
"estimated_hours": 10,
"resources": [
{
"type": "Image-based tutorials",
"link": "example.com/nlp-intro",
"style_score": 1
},
{
"type": "Visual diagrams",
"link": "example.com/nlp-diagrams",
"style_score": 1
}
],
"skills_gained": [
"Fundamental understanding of NLP"
]
},
{
"title": "Text Preprocessing Techniques",
"description": "Learn about text cleaning, tokenization, and normalization",
"estimated_hours": 15,
"resources": [
{
"type": "Visual guides on text preprocessing",
"link": "example.com/text-preprocessing",
"style_score": 1
},
{
"type": "Interactive visual tools",
"link": "example.com/text-preprocessing-tools",
"style_score": 1
}
],
"skills_gained": [
"Text preprocessing skills"
]
},
{
"title": "Sentiment Analysis",
"description": "Understanding sentiment analysis and its applications in NLP",
"estimated_hours": 20,
"resources": [
{
"type": "Interactive sentiment analysis tutorials",
"link": "example.com/sentiment-analysis",
"style_score": 1
},
{
"type": "Visual sentiment analysis examples",
"link": "example.com/sentiment-analysis-examples",
"style_score": 1
}
],
"skills_gained": [
"Sentiment analysis techniques"
]
}
],
"prerequisites": [
"Basic understanding of programming concepts"
],
"total_hours": 45,
"created_at": "2022-12-20"
} |