Introduction: The Power of Customer Feedback
In today's competitive e-commerce landscape, customer reviews serve as the digital word-of-mouth that can make or break a product's success. For those engaged in proxy shopping
Step 1: Data Collection Strategy
Begin by exporting Hoobuy reviews in CSV or JSON format. Key data points to capture include:
- Product ID & Name
- Reviewer demographics
- Star ratings (1-5)
- Verbal feedback content
- Posting dates
Tip: Use Python BeautifulSoupSelenium
Step 2: Spreadsheet Framework Setup
Structure your spreadsheet with these essential columns:
| Column | Purpose |
|---|---|
| A-B | Product Identifiers |
| C-E | Reviewer Details |
| F | Rating (Numerical) |
| G | Sentiment Score |
| H | Key Themes (Tags) |
Step 3: Sentiment Analysis Implementation
Enhance your spreadsheet with these analytical techniques:
- Apply VADER Sentiment Analysis
- Create pivot tables to track rating trends by product categories
- Use conditional formatting to highlight recurring complaint keywords
Pro Tip: Integrate Google Translate API for automatic translation of non-English reviews before analysis.
Implementation Example
function analyzeSentiment() {
// Google Apps Script for sentiment scoring
const reviewText = activeCell.getValue();
const Language = authenticateTranslateAPI();
const translatedText = Language.Translations.translate(reviewText, 'en').translatedText;
return calculateSentimentScore(translatedText);
}
Visual Reporting
Generate actionable insights through:
- Monthly rating distribution
- Word clouds highlighting frequent adjectives
- Geographical heatmaps of satisfaction levels
