Research Article
A “User-Knowledge-Product” Co-Creation Cyberspace Model for Product Innovation
Table 5
The extracted knowledge point keywords with top 15 frequency weight and their various weights.
| Keywords | Frequency weight | Attention weight | Character weight | Position weight | Part-of-speech weight | Span weight |
| Note 5A | 80 | 3.51817E + 11 | 78.6 | 1 | 75.33333 | Fans | 37 | 3.51817E + 11 | 5.4 | 1 | 3 | Purchase | 32 | 1581825.91 | 2.6 | 0.6 | 1.333333 | Discount | 30 | 1581787.063 | 0 | 0.6 | 0 | System | 19 | 1581326.577 | 6.4 | 1 | 3.333333 | Battery | 16 | 3.51817E + 11 | 7 | 1 | 3.333333 | Use | 15 | 1081.948809 | 7.6 | 0.6 | 4.333333 | Edition | 15 | 1160.523897 | 5.2 | 1 | 2.666667 | Screen | 15 | 3.51817E + 11 | 6 | 1 | 3.333333 | Software | 13 | 1581226.719 | 4.2 | 1 | 2.333333 | Express | 13 | 705.2475923 | 5.2 | 0.6 | 2.333333 | Wakeup | 12 | 655.3813314 | 6.8 | 0.6 | 3.666667 | Settings | 12 | 679.439974 | 2.4 | 0.6 | 1.333333 | Mode | 11 | 1580806.593 | 4.4 | 1 | 2.333333 | WeChat | 10 | 1581228.874 | 1.8 | 1 | 1 |
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