With the rapid growth of global e-commerce, analyzing customer feedback has become crucial for product optimization. This article explores how AliExpress review data can be processed in spreadsheet tools (like Google Sheets or Excel) to extract actionable insights through sentiment analysis and keyword extraction.
Product reviews are exported from AliExpress as CSV files and imported into spreadsheets for analysis. The raw data typically includes:
Using spreadsheet add-ons like Text Analysis Toolkit
| Sentiment | Category | Top Keywords | Frequency |
|---|---|---|---|
| Positive | Quality | "durable", "wear-resistant", "premium" | 218 occurrences |
| Negative | Sizing | "too small", "runs large", "inconsistent" | 147 occurrences |
Advanced spreadsheet features enable dynamic charts showing sentiment patterns:
The highest frequency negative terms suggest these improvement priorities:
Frequent positive mentions reveal strengths to emphasize in marketing:
Systematically analyzing AliExpress reviews via spreadsheet-based sentiment analysis transforms unstructured feedback into strategic insights. Regular implementation facilitates:
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