Skip to content

DeeDive/Repute-PI

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

8 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Repute-PI: An Unsupervised Framework for Online Reputation Monitor and Prediction with Review Information and Rating Dynamics

We present a novel framework Repute-PI that leverages both review-based information and rating dynamics to form informative indicators that can help managers monitor their brand and product reputation. The proposed framework consists of three modules: rating module, prediction module, and insight module.

Framework

Repute-PI Framework

Run the model

To kick it off, change the phase to [1,2,3,4] in main.py, then

python main.py

Results

  • Rating Module - mitigate review-rating mismatches.
    • Review Embedding and Clustering.

t-SNE visualization of review embeddings

    • Effective Moving Rating with Review Correction

Rating Correction

  • Prediction Module - Reputation Prediction based on ARIMA

Brand Reputation Prediction

  • Insight Module - What customers care about most

Hair dryer example

About

``Principal Investigator‘’ for Product Repute

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages