Executive Development Programme in Text Clustering Strategies
-- viewing nowThe Executive Development Programme in Text Clustering Strategies is a certificate course designed to equip learners with essential skills in data analysis and text mining. This programme is crucial in today's digital age, where businesses generate vast amounts of unstructured data.
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Course Details
• Unit 1: Introduction to Text Clustering Strategies
• Unit 2: Types of Text Clustering: Hard vs. Soft Clustering
• Unit 3: Distance Measures in Text Clustering: Cosine Similarity, Euclidean Distance, Jaccard Similarity
• Unit 4: Text Preprocessing for Text Clustering: Stop Words Removal, Stemming, Lemmatization
• Unit 5: Hierarchical Clustering Algorithms for Text Data: Agglomerative and Divisive Clustering
• Unit 6: Partitioning Clustering Algorithms for Text Data: K-Means, K-Medoids
• Unit 7: Density-Based Clustering Algorithms for Text Data: DBSCAN, HDBSCAN
• Unit 8: Evaluation Metrics for Text Clustering: Silhouette Score, Davies-Bouldin Index, Adjusted Rand Index
• Unit 9: Advanced Text Clustering Techniques: Fuzzy Clustering, Probabilistic Clustering, Ensemble Clustering
• Unit 10: Real-World Applications of Text Clustering Strategies
Career Path
Entry Requirements
- Basic understanding of the subject matter
- Proficiency in English language
- Computer and internet access
- Basic computer skills
- Dedication to complete the course
No prior formal qualifications required. Course designed for accessibility.
Course Status
This course provides practical knowledge and skills for professional development. It is:
- Not accredited by a recognized body
- Not regulated by an authorized institution
- Complementary to formal qualifications
You'll receive a certificate of completion upon successfully finishing the course.
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