Review Topic Filters

About this block

Review Topic Filters is a client block with four topic chips, zippers, rain, straps, and laptop fit, each showing a mention count extracted from review text. A press filters the quote list live and the count line updates: “2 of 4 sample reviews mention rain.” Quotes are tagged by what they actually discuss, not by star rating, so the buyer who is worried about rain sees only the rain quotes. The footer explains the extraction: topics come from the review text, not from reviewers choosing, which is why rain has 212 mentions.

Topics and reviews are two arrays, reviews tagged with topic ids. The extraction origin note is the credibility line that makes the counts trustworthy.

When to use

Reach for this block on any product page where the review corpus is large enough to surface real topic frequency. The mention counts must reflect actual corpus analysis, not manually curated tags, or the footer note is false.

A natural flow around it on an Ecommerce Pro page:

Before

• Product overviews

After

• Reviews over the years
• Size and fit

What you can display

One strong use is the four worry-driven chips. Other topic sets:

• Footwear fit. Width, arch, toe box, and sole grip extracted from the corpus.
• Electronics. Battery, heat, keyboard, and screen brightness as the four concerns.
• Furniture. Assembly, wobble, fabric wear, and delivery condition.

Tip: showing mention counts on each chip signals the volume behind the filter; 212 rain mentions is evidence, not decoration.