Data Analytics for Social Microblogging Platforms
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portes grátis
Data Analytics for Social Microblogging Platforms
Das, Asit Kumar; Ghosh, Saptarshi; Samanta, Debabrata; Dutta, Soumi
Elsevier Science & Technology
11/2022
328
Mole
Inglês
9780323917858
15 a 20 dias
Descrição não disponível.
Section 1: Introduction of Intelligent Information Filtering and Organisation Systems for Social Microblogging Sites
1. Introduction to Microblogging Sites
2. Data structures and data storage
3. Data Collection using Twitter API
Section 2: Microblogging dataset Applications and Implications
4. Brief overview of existing algorithms and Applications
Attribute Selection Methods - Filter Method, Wrapper Method, Other attribute selection algorithms
5. Spam detection - Spam detection in OSM - Attribute selection for spam detection
6. Summarization - Automatic Document Summarization, Summarization of microblogs, Comparing algorithms for microblog summarization, Summarization Validation
7. Cluster Analysis, Clustering Algorithms, Partition based Clustering, Hierarchical Clustering, Density-based Clustering, Graph clustering algorithms, Cluster Validation Indices, Clustering in Online Social Microblogging Sites
Section 3: Attribute Selection to Improve Spam Classification
8. Introduction of Attribute Selection to Improve Spam Classification
9. Attribute Selection Based in Basics of Rough Set Theory and Attribute selection algorithm.
10. Experimental Dataset Description
11. Evaluating performance and Evaluation measures
12. Fake news, scams, recruiting by terrorist or criminal organizations
Section 4: Microblog Summarization
13. Introduction of Microblog Summarization
14. Base summarization algorithms
15. Unsupervised ensemble summarization approach
16. Supervised ensemble summarisation approach
17. Experiments and results and Performance analysis
18. Demonstrating summarization examples
Section 5: Microblog Clustering
19. Introduction of Microblog Clustering
Experimental Dataset - will be posted on Mendeley and link included at end of Chapter 19
20. Graph Based Clustering Technique
21. Genetic Algorithm based Clustering
22. Clustering based on Feature Selection
23. Clustering Microblogs using Dimensionality Reduction
24. Evaluating performance and result Analysis
Section 6: Conclusion and Future Directions on Social Microblogging Sites
1. Introduction to Microblogging Sites
2. Data structures and data storage
3. Data Collection using Twitter API
Section 2: Microblogging dataset Applications and Implications
4. Brief overview of existing algorithms and Applications
Attribute Selection Methods - Filter Method, Wrapper Method, Other attribute selection algorithms
5. Spam detection - Spam detection in OSM - Attribute selection for spam detection
6. Summarization - Automatic Document Summarization, Summarization of microblogs, Comparing algorithms for microblog summarization, Summarization Validation
7. Cluster Analysis, Clustering Algorithms, Partition based Clustering, Hierarchical Clustering, Density-based Clustering, Graph clustering algorithms, Cluster Validation Indices, Clustering in Online Social Microblogging Sites
Section 3: Attribute Selection to Improve Spam Classification
8. Introduction of Attribute Selection to Improve Spam Classification
9. Attribute Selection Based in Basics of Rough Set Theory and Attribute selection algorithm.
10. Experimental Dataset Description
11. Evaluating performance and Evaluation measures
12. Fake news, scams, recruiting by terrorist or criminal organizations
Section 4: Microblog Summarization
13. Introduction of Microblog Summarization
14. Base summarization algorithms
15. Unsupervised ensemble summarization approach
16. Supervised ensemble summarisation approach
17. Experiments and results and Performance analysis
18. Demonstrating summarization examples
Section 5: Microblog Clustering
19. Introduction of Microblog Clustering
Experimental Dataset - will be posted on Mendeley and link included at end of Chapter 19
20. Graph Based Clustering Technique
21. Genetic Algorithm based Clustering
22. Clustering based on Feature Selection
23. Clustering Microblogs using Dimensionality Reduction
24. Evaluating performance and result Analysis
Section 6: Conclusion and Future Directions on Social Microblogging Sites
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Microblogs; social media; Twitter; spam; spam filtering; attribute selection; clustering; summarization; ensemble summarization; Information Retrieval; Feature Selection; clustering and classification algorithms; rough set and fuzzy set theory; evolutionary computations
Section 1: Introduction of Intelligent Information Filtering and Organisation Systems for Social Microblogging Sites
1. Introduction to Microblogging Sites
2. Data structures and data storage
3. Data Collection using Twitter API
Section 2: Microblogging dataset Applications and Implications
4. Brief overview of existing algorithms and Applications
Attribute Selection Methods - Filter Method, Wrapper Method, Other attribute selection algorithms
5. Spam detection - Spam detection in OSM - Attribute selection for spam detection
6. Summarization - Automatic Document Summarization, Summarization of microblogs, Comparing algorithms for microblog summarization, Summarization Validation
7. Cluster Analysis, Clustering Algorithms, Partition based Clustering, Hierarchical Clustering, Density-based Clustering, Graph clustering algorithms, Cluster Validation Indices, Clustering in Online Social Microblogging Sites
Section 3: Attribute Selection to Improve Spam Classification
8. Introduction of Attribute Selection to Improve Spam Classification
9. Attribute Selection Based in Basics of Rough Set Theory and Attribute selection algorithm.
10. Experimental Dataset Description
11. Evaluating performance and Evaluation measures
12. Fake news, scams, recruiting by terrorist or criminal organizations
Section 4: Microblog Summarization
13. Introduction of Microblog Summarization
14. Base summarization algorithms
15. Unsupervised ensemble summarization approach
16. Supervised ensemble summarisation approach
17. Experiments and results and Performance analysis
18. Demonstrating summarization examples
Section 5: Microblog Clustering
19. Introduction of Microblog Clustering
Experimental Dataset - will be posted on Mendeley and link included at end of Chapter 19
20. Graph Based Clustering Technique
21. Genetic Algorithm based Clustering
22. Clustering based on Feature Selection
23. Clustering Microblogs using Dimensionality Reduction
24. Evaluating performance and result Analysis
Section 6: Conclusion and Future Directions on Social Microblogging Sites
1. Introduction to Microblogging Sites
2. Data structures and data storage
3. Data Collection using Twitter API
Section 2: Microblogging dataset Applications and Implications
4. Brief overview of existing algorithms and Applications
Attribute Selection Methods - Filter Method, Wrapper Method, Other attribute selection algorithms
5. Spam detection - Spam detection in OSM - Attribute selection for spam detection
6. Summarization - Automatic Document Summarization, Summarization of microblogs, Comparing algorithms for microblog summarization, Summarization Validation
7. Cluster Analysis, Clustering Algorithms, Partition based Clustering, Hierarchical Clustering, Density-based Clustering, Graph clustering algorithms, Cluster Validation Indices, Clustering in Online Social Microblogging Sites
Section 3: Attribute Selection to Improve Spam Classification
8. Introduction of Attribute Selection to Improve Spam Classification
9. Attribute Selection Based in Basics of Rough Set Theory and Attribute selection algorithm.
10. Experimental Dataset Description
11. Evaluating performance and Evaluation measures
12. Fake news, scams, recruiting by terrorist or criminal organizations
Section 4: Microblog Summarization
13. Introduction of Microblog Summarization
14. Base summarization algorithms
15. Unsupervised ensemble summarization approach
16. Supervised ensemble summarisation approach
17. Experiments and results and Performance analysis
18. Demonstrating summarization examples
Section 5: Microblog Clustering
19. Introduction of Microblog Clustering
Experimental Dataset - will be posted on Mendeley and link included at end of Chapter 19
20. Graph Based Clustering Technique
21. Genetic Algorithm based Clustering
22. Clustering based on Feature Selection
23. Clustering Microblogs using Dimensionality Reduction
24. Evaluating performance and result Analysis
Section 6: Conclusion and Future Directions on Social Microblogging Sites
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
