How to Curate Your Mentions

Once Mentionlytics starts collecting mentions for your keywords and social profiles, you may find that not every result is equally relevant to your monitoring goals.

Curating your mentions helps you clean up, organize, and refine your results, making it easier to focus on the conversations and insights that matter most to you.

In this article, we'll explore the different ways you can curate your existing mentions and refine your monitoring setup to improve the relevance of future results.

Curating your mentions means reviewing the results collected in your account and making sure they are relevant, properly categorized, and useful for your analysis.

There are two main ways to curate your results:

Regularly reviewing both your mentions and your monitoring setup can help you maintain a cleaner dataset and generate more meaningful analytics and reports.

Start by navigating to the Mentions section of your account and reviewing the results collected for your trackers.

If you're working with a large number of mentions, use the available filters to narrow down the results you're reviewing.

For example, you can filter mentions according to their:

This makes it easier to identify patterns and understand why certain irrelevant mentions are being collected.

Sometimes a keyword can have multiple meanings or appear in conversations that aren't related to what you're monitoring.

When you come across an irrelevant result, you can change its Relevance accordingly.

This allows you to separate irrelevant results from the mentions that are valuable to your analysis without necessarily removing them from your account.

You can then use the Relevance filter whenever you want to focus only on your relevant mentions.

If you notice the same type of irrelevant result appearing repeatedly, consider adjusting your keyword configuration instead.

If you're consistently receiving irrelevant mentions, there are several ways you can refine your keyword setup to improve future collection.

Excluded Keywords allow you to specify words or phrases that should not appear in the mentions collected for your keyword.

For example, imagine you're monitoring a term that has multiple meanings. If the irrelevant results consistently contain a particular word or phrase, you can add that term as an Excluded Keyword.

Before excluding a term, make sure that it consistently represents irrelevant content.

You can also refine your search by adding Additional Required Keywords.

These are useful when your main keyword is too broad, and you want the collected mentions to contain additional terms that provide more context.

When adding multiple Additional Required Keywords, you can use the AND or OR operator to determine how Mentionlytics searches for them.

Using AND makes your search more restrictive.

The mention needs to meet all the specified keyword requirements to be collected.

For example, if you're monitoring a broad brand or industry term, you can require additional words to appear alongside it to narrow down your results.

Using OR broadens the criteria by allowing different additional terms to qualify a mention.

Instead of requiring all the additional terms to be present together, OR can be useful when there are several different words or phrases that could make a mention relevant to your monitoring.

This is particularly helpful when people may discuss the same topic using different terminology.

If you only want to monitor mentions written in a particular language, you can apply a Language restriction to your keyword.

For example, if you're only interested in English-language conversations, you can restrict the keyword to English.

This can significantly reduce irrelevant mentions when the same keyword or brand name appears across different languages.

You can also apply a Country restriction when your monitoring needs to focus on a specific market.

For example, if you're monitoring a campaign that only operates in one country, restricting the keyword to that country can help you focus your results on the relevant market.

As with Language restrictions, a Country restriction narrows your collection. Use it when your monitoring objective is specifically tied to one country rather than when you need a broader or international view.

Mentionlytics automatically analyzes the sentiment of your mentions, but you can manually correct it when necessary.

If you notice that a mention has been categorized as Positive, Negative, or Neutral and you believe another sentiment score is more appropriate, you can change it directly from the mention.

Correcting sentiment can be particularly useful when preparing reports or analyzing customer feedback, campaigns, and brand perception.

Tags are a useful way to organize mentions according to topics that are important to your monitoring strategy.

For example, you could create Tags for:

Once your mentions are tagged, you can filter by those Tags to quickly access and analyze specific groups of conversations. You can also use Mentionlytics’ AI Tags to help you automate the process.

Filters allow you to narrow down your mentions based on specific criteria and focus on the results you need.

If you regularly use the same combination of filters, you can save them as a Preset for easier access.

For example, you could create a Preset showing only Negative mentions from social media or mentions associated with a particular campaign or Tag.

Presets can save time when you're regularly reviewing different groups of mentions.

Read more about Mentionlytics’ filters:

If you frequently perform the same actions on mentions that meet specific conditions, Automation Rules can help simplify your workflow. You can find this feature in your Automations & Tags section.

Instead of manually organizing every mention, you can create rules based on specific criteria and automatically apply actions to matching mentions.

This can be especially helpful for accounts collecting a large volume of mentions or teams that have established workflows for categorizing their results.

You can also delete individual mentions that you don't want to keep in your account.

However, deleting a mention only removes that specific result. It does not prevent Mentionlytics from collecting similar mentions in the future.

If you're dealing with recurring irrelevant results, it's better to identify what those mentions have in common and refine your keyword configuration accordingly.

It's important to understand the difference between curating mentions you've already collected and refining what Mentionlytics collects in the future.

Actions such as changing Relevance or Sentiment, adding Tags, deleting mentions, and using filters or Presets help you organize and curate your existing mentions.

When you identify a recurring pattern of irrelevant results, you can refine future collection by adjusting your keyword configuration. Depending on your monitoring needs, this could include:

For more precise mention curation, use Boolean Queries with AND, OR, and NOT operators to target relevant terms, include variations, and exclude unwanted noise from your results.

The more precisely your keywords reflect what you actually want to monitor, the less manual curation you'll need to do later.