Developing Schemas with Word Emotion Distribution for Emotion Classification

Computer Science

1. User 100%
2. Education 50%
3. Classification 50%
4. Taxonomies 50%
5. Vectors 50%
6. Links 50%
7. Descriptors 50%
8. Roles 43%
9. Domain Knowledge 41%
10. Brute Force Attack 33%
11. Smart Contract 33%
12. Data Integrity 33%
13. Auditors 33%
14. User Data 33%
15. Blockchain 33%
16. Encryption 33%
17. Filtering 33%
18. Artificial Intelligence 28%
19. Word Embedding 25%
20. Emotion Lexica 25%
21. Discrete Emotion 25%
22. Emotional Intensity 25%
23. Classification Task 25%
24. Implicit Approach 25%
25. Evaluation 23%
26. Simulation Mode 20%
27. Integrity Verification 16%
28. Redundant Data 16%
29. Authorized User 16%
30. Cloud Storage System 16%
31. Security Analysis 16%
32. Performance Evaluation 16%
33. Server 16%
34. Computation 16%
35. Attack 16%
36. Engineering Application 16%
37. Reverse Engineering 16%
38. Transformation Matrix 16%
39. Surface Intersection 16%
40. Fundamental Component 16%
41. Estimation Accuracy 16%
42. Future Direction 14%
43. Research Topic 14%
44. e-Commerce 10%
45. Performance Model 10%
46. Transaction Record 10%
47. Classification (Machine Learning) 10%
48. Decision-Making 10%
49. Prediction Accuracy 10%
50. Boosting 10%
51. Contexts 10%
52. Representation 10%
53. Discourse Analysis 7%
54. Robot 7%
55. Learner Emotion 7%
56. Academic Community 7%
57. Emotion Detection 7%
58. Collaborative Learning 7%
59. Recommender Systems 7%
60. Educational Data Mining 7%
61. Intelligent Tutoring System 7%
62. Artificial Intelligence Applications 7%
63. Application 7%
64. Computer 7%
65. Affective Computing 7%
66. Natural Language Processing 7%
67. Prediction Performance 7%