Why AI Comment Moderation Beats Keyword Filters — MintSense vs Rule-Based Tools

If you have ever tried to moderate Instagram or Facebook comments using keyword filters, you know the problem. You block the word "spam" — and a customer writing "this is definitely not spam, I genuinely love this" gets hidden. You add "cheap" to catch low-quality promoters — and a buyer asking "is this cheaper than your website?" disappears. You spend more time maintaining rules than running your business.

ReplyMint is built differently. MintSense — the AI decision engine inside every ReplyMint workspace — reads what people actually mean. No keyword lists. No flows. No rules to maintain.

The problem with keyword filters

Rule-based moderation tools operate on a simple logic: if a comment contains word X, take action Y. This works for the most obvious cases. It breaks immediately when real people write in real ways.

What keyword filters get wrong

• Buyers use slang: "how much" vs "price?" vs "💸" vs "what's the damage"
• Negative comments are sometimes genuine questions: "why is shipping so slow?"
• Spam evolves to avoid keyword detection
• Sarcasm reads as positive: "oh great, another sellout brand 🙄"
• The same word means different things in different contexts

The result: brands either over-moderate — blocking real customers — or under-moderate — letting harmful content stay visible. Neither is acceptable for a brand that depends on social commerce.

How MintSense Flash Engine v1.1 works

MintSense runs a single fast analysis — called the Fusion call — on every inbound comment and DM. Powered by Gemini 2.5 Flash, it reads the message text alongside your business context and post caption when available.

In under a second, it produces a complete picture of that message:

• Intent classification — what the person actually wants
• Sentiment analysis — positive, neutral, or negative tone
• Safety assessment — harmful content, severity level, specific risk labels
• Sarcasm detection — catches what keyword tools miss entirely
• Confidence score — 0 to 100, reflecting certainty of the classification
• Thread context — previous messages and nested reply awareness

This is not pattern matching. It is language understanding applied to the abbreviated, emoji-filled, multilingual reality of social commerce comments.

Four intent buckets — and why they matter

MintSense maps every message into one of four seller-friendly buckets:

Buyer

Pricing questions, availability checks, purchase intent. These rise to the top of your ReplyMint inbox automatically and are prioritised for auto-reply.

Question

Product details, shipping timelines, policy queries. Worth a thoughtful reply — these are warm leads who are not quite ready to commit.

Spam

Harmful links, irrelevant promotion, unsafe content. Filtered before it reaches your workflow — and auto-hidden when you enable that rule in settings.

General

Praise, light engagement, emoji reactions. Good for brand sentiment — MintSense auto-likes these on Facebook when you enable that setting.

Comment moderation — what you can do today

Beyond auto-replies, ReplyMint gives you full comment control directly from your inbox. No need to open Facebook or Instagram separately.

Manual actions — available now

• Like — acknowledge positive comments with one click. Reflects on Facebook instantly.
• Hide — remove a comment from public view without deleting it. Reversible anytime.
• Delete — permanently remove harmful comments. Requires confirmation — this cannot be undone.
• @mention replies — Facebook replies automatically tag the commenter.

Auto-moderation rules — configure in settings

• Auto-like positive sentiment comments (Facebook)
• Auto-hide spam comments
• Auto-hide negative sentiment comments
• Auto-hide hate speech
• Auto-delete hate speech with confidence threshold gate
• Platform scope — apply rules to Instagram, Facebook, or both

Every action is logged with a timestamp and full audit trail. You always know what happened and why.

Confidence scoring — the guardrail that makes automation safe

Every MintSense classification comes with a confidence score from 0 to 100. High scores mean MintSense is certain. Low scores signal ambiguity.

The score reduces when safety issues, spam signals, negative sentiment, sarcasm, or unclear intent are detected. The exact weighting is calibrated by MintSense — you only need to set the threshold that works for your brand.

In your ReplyMint settings, you set the threshold. The default is 0.65 — balanced for most sellers. Raise it for more conservative automation. Lower it for faster, more aggressive moderation.

One important design decision: spam and blocked content bypass the confidence threshold entirely. When MintSense classifies a comment as spam, the confidence penalty exists because the system is uncertain about edge cases — not because the spam classification itself is wrong. Auto-hide fires regardless, keeping your posts clean.

Auto-moderation in practice

Here is what the full pipeline looks like for a spam comment arriving on your Facebook post:

1. Comment arrives via Meta webhook
2. MintSense Fusion call classifies: intent = spam, confidence = 60
3. Spam bypasses confidence threshold (clear-cut classification)
4. Auto-moderation engine checks your settings: auto_hide_spam = true
5. hideComment() called via Meta Graph API
6. Comment hidden from public view within seconds
7. Action logged to audit trail with timestamp
8. Inbox shows comment as hidden with badge

The entire pipeline runs without you touching anything. The comment is never seen by your audience.

The bottom line

Keyword filters are a 2015 solution to a 2026 problem. Social commerce comments are fast, informal, multilingual, and unpredictable. MintSense is built for that reality — reading intent and acting with confidence, not matching words and hoping for the best.

ReplyMint gives you the inbox to close sales and the moderation tools to protect your brand. In the same place. Without rules to maintain.

What is the difference between MintSense and keyword-based comment moderation?

Keyword filters match specific words and apply fixed actions. MintSense reads intent, sentiment, safety, and sarcasm from natural language — understanding what a person means, not just what words they used. It works on slang, emoji, and mixed-intent messages without any rules to maintain.

Can ReplyMint automatically hide spam comments on Instagram and Facebook?

Yes. ReplyMint's auto-moderation engine reads MintSense's spam classification and automatically hides spam comments via the Meta Graph API. Spam comments bypass the confidence threshold — they are hidden regardless of score.

What confidence threshold should I use for comment moderation?

The default threshold of 0.65 is recommended for most sellers. Raise it toward 1.0 for more conservative automation — fewer auto-actions, more manual review. Lower it toward 0.0 for more aggressive moderation. Spam and blocked content always bypass this threshold.

Does ReplyMint delete comments permanently?

Yes. The delete action in ReplyMint calls the Meta Graph API to permanently remove the comment from Facebook or Instagram. This action requires confirmation and cannot be undone. Auto-delete for hate speech is available in Settings with a confidence threshold gate.