Table 2 Keyword attribute clustering table.
From: CA-VAR-Markov model of user needs prediction based on user generated content
User Need | Product Feature Keywords |
|---|---|
Space \(({R}_{1})\) | Room \({(C}_{\text{1,1}})\)、Space \({(C}_{\text{1,2}})\)、 Seat \({(C}_{\text{1,3}})\)、Rear \({(C}_{\text{1,4}})\)、Trunk \({(C}_{\text{1,5}})\)、Bodywork \({(C}_{\text{1,6}})\) |
Configuration \(({R}_{2})\) | Suspension \({(C}_{\text{2,1}})\)、Configuration \({(C}_{\text{2,2}})\)、Sunroof \({(C}_{\text{2,3}})\)、Vehicle type \({(C}_{\text{2,4}})\)、Brake \({(C}_{\text{2,5}})\)、Ventilation \({(C}_{\text{2,6}})\)、Air \({(C}_{\text{2,7}})\)、Automobile \({(C}_{\text{2,8}})\)、Canopy \({(C}_{\text{2,9}})\)、System \({(C}_{\text{2,10}})\)、Glass \({(C}_{\text{2,11}})\)、Steering wheel \({(C}_{\text{2,12}})\)、Sump \({(C}_{\text{2,13}})\) |
Energy consumption \({(R}_{3})\) | Endurance \({(C}_{\text{3,1}})\)、Battery \({(C}_{\text{3,2}})\)、Recharge \({(C}_{\text{3,3}})\)、Mileage \({(C}_{\text{3,4}})\)、Price \({(C}_{\text{3,5}})\)、power consumption \({(C}_{\text{3,6}})\) |
Operation \(({R}_{4})\) | Drive \({(C}_{\text{4,1}})\)、Impetus \({(C}_{\text{4,2}})\)、Acceleration \({(C}_{\text{4,3}})\)、Function \({(C}_{\text{4,4}})\)、Mode \({(C}_{\text{4,5}})\)、Upgrade \({(C}_{\text{4,6}})\)、Automation \({(C}_{\text{4,7}})\)、Manipulation \({(C}_{\text{4,8}})\)、Performance \({(C}_{\text{4,9}})\)、Technology \({(C}_{\text{4,10}})\)、Ancillary \({(C}_{\text{4,11}})\)、Intelligent \({(C}_{\text{4,12}})\)、Speed \({(C}_{\text{4,13}})\)、Phonetics \({(C}_{\text{4,14}})\)、Technical \({(C}_{\text{4,15}})\)、 |
Decoration \({(R}_{5})\) | Interior decoration \({(C}_{\text{5,1}})\)、Appearance \({(C}_{\text{5,2}})\)、Design \({(C}_{\text{5,3}})\)、Brand \({(C}_{\text{5,4}})\)、Style \({(C}_{\text{5,5}})\)、Facial features \({(C}_{\text{5,6}})\)、Sports \({(C}_{\text{5,7}})\)、Color \({(C}_{\text{5,8}})\)、Material used \({(C}_{\text{5,9}})\)、Textures \({(C}_{\text{5,10}})\) |