Feature · Safety
Know the mood first
A trend going up and a trend going well are not the same trend. The comment section is where the two separate.
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Velocity is blind to mood
A topic can climb precisely because people are angry about it, and every graph in every trend tool draws the same encouraging line. Brands that post into that line find out in their own comment section, which is the expensive place to learn it.
What the sentiment analysis reads
We read a sample of comments under the videos carrying each trend and split them into positive, neutral and negative. You get a proportion rather than a label, because 55% positive with 30% negative is a different bet from 62% positive with 14% negative. When no comments can be read, the split is estimated from the topic and its hashtags.
A bad reading is not a stop sign
Negative usually means there is a real complaint sitting under the topic. The video that names the complaint out loud tends to beat the one that rides the trend cheerfully. Once negative passes 60%, the trend is flagged as a warning, so you look twice before you film.
What you actually get
A positive, neutral and negative split per trend, as percentages.
Read from comments under the trending videos, not from a keyword sweep.
A warning flag on any trend where negative passes 60%.
An estimate from topic and hashtags when no comments are available.
A worked example
Subscription price rises in fitness apps
TikTokFor a gym or a coach this is a gift, but only if you read the room first. Say the split is 31% negative and the anger points at apps, not at training. A video that says so lands. A cheerful one collects the anger instead.
“Your fitness app raised its price again. Here is what it does that a notebook does not.”
Illustrative example
Know the mood
before you post.
- Live sentiment from comments
- Warning flag when negative > 60%
- Per-platform breakdown
- Historical trend shifts
Your next post is already trending somewhere.
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Questions people actually ask
What is sentiment analysis on social media?
It sorts comments into positive, neutral and negative to show the mood around a topic. Here it runs on the comments under trending videos, before you decide to post about the trend.
Which comments are read?
A sample of comments under the videos carrying the trend. If none can be read, the split is an estimate from the topic and its hashtags.
Does it analyse comments on my own posts?
No. Sentiment runs on trends only, not on your own posts, ads or mentions.
Should I avoid every negative trend?
No. Negative sentiment usually points at a real complaint, and naming it honestly tends to beat riding the trend cheerfully.
Is this social listening?
No. There is no social listening or brand-mention monitoring here. Listening tools track what people say about your brand; this reads the mood of a trend before you post about it.
Your next post is already trending somewhere.
Enter your website and see what MyTrendView finds for your audience.
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