From: A web sentiment analysis method on fuzzy clustering for mobile social media users
1 | 0.859 | 0.7806 | 0.6343 | 0.6769 | 0.7113 | 0.7098 | 0.8931 | 0.8931 | 0.8075 | 0.8195 | 0.8195 | 0.762 | 0.7512 | 0.7744 |
0.859 | 1 | 0.7806 | 0.6343 | 0.6944 | 0.7113 | 0.7098 | 0.859 | 0.8075 | 0.7592 | 0.8195 | 0.7744 | 0.7528 | 0.7528 | 0.7744 |
0.7806 | 0.7806 | 1 | 0.6343 | 0.6695 | 0.6944 | 0.7098 | 0.7806 | 0.7806 | 0.7592 | 0.7806 | 0.7512 | 0.7025 | 0.7025 | 0.7386 |
0.6343 | 0.6343 | 0.6343 | 1 | 0.6444 | 0.6444 | 0.6444 | 0.6285 | 0.6343 | 0.6343 | 0.6343 | 0.5861 | 0.5541 | 0.5586 | 0.5749 |
0.6769 | 0.6944 | 0.6695 | 0.6444 | 1 | 0.7486 | 0.7459 | 0.6285 | 0.6769 | 0.6769 | 0.6927 | 0.7113 | 0.6128 | 0.6838 | 0.667 |
0.7113 | 0.7113 | 0.6944 | 0.6444 | 0.7486 | 1 | 0.7459 | 0.6944 | 0.6893 | 0.6909 | 0.7113 | 0.7113 | 0.7113 | 0.7113 | 0.7113 |
0.7098 | 0.7098 | 0.7098 | 0.6444 | 0.7459 | 0.7459 | 1 | 0.7098 | 0.7098 | 0.7098 | 0.7098 | 0.7113 | 0.6457 | 0.6909 | 0.667 |
0.8931 | 0.859 | 0.7806 | 0.6285 | 0.6285 | 0.6944 | 0.7098 | 1 | 0.9033 | 0.8649 | 0.8195 | 0.7585 | 0.7585 | 0.725 | 0.7521 |
0.8931 | 0.8075 | 0.7806 | 0.6343 | 0.6769 | 0.6893 | 0.7098 | 0.9033 | 1 | 0.8649 | 0.8075 | 0.7512 | 0.6729 | 0.725 | 0.6729 |
0.8075 | 0.7592 | 0.7592 | 0.6343 | 0.6769 | 0.6909 | 0.7098 | 0.8649 | 0.8649 | 1 | 0.7592 | 0.7512 | 0.725 | 0.725 | 0.6671 |
0.8195 | 0.8195 | 0.7806 | 0.6343 | 0.6927 | 0.7113 | 0.7098 | 0.8195 | 0.8075 | 0.7592 | 1 | 0.9257 | 0.8349 | 0.762 | 0.7808 |
0.8195 | 0.7744 | 0.7512 | 0.5861 | 0.7113 | 0.7113 | 0.7113 | 0.7585 | 0.7512 | 0.7512 | 0.9257 | 1 | 0.8349 | 0.8288 | 0.7808 |
0.762 | 0.7528 | 0.7025 | 0.5541 | 0.6128 | 0.7113 | 0.6457 | 0.7585 | 0.6729 | 0.725 | 0.8349 | 0.8349 | 1 | 0.8288 | 0.7808 |
0.7512 | 0.7528 | 0.7025 | 0.5586 | 0.6838 | 0.7113 | 0.6909 | 0.725 | 0.725 | 0.725 | 0.762 | 0.8288 | 0.8288 | 1 | 0.7563 |
0.7744 | 0.7744 | 0.7386 | 0.5749 | 0.667 | 0.7113 | 0.667 | 0.7521 | 0.6729 | 0.6671 | 0.7808 | 0.7808 | 0.7808 | 0.7563 | 1 |