What is Boolean?
Boolean is a type of search language that helps sift through large volumes of data – be it an internal database, web search on Google, Bing, or DuckDuckGo, or social media mentions – and surface results that match the queries asked.
Boolean represents a specific set of operators, including AND, OR, and NOT, to help focus your search requests and results.
Think, “(red AND dress) NOT shirt,” which, in Boolean terms, means surface results about “red” and “dress” but not “shirt.”
Boolean operators are a key to successful social media listening and monitoring. A well-structured Boolean search can help marketers monitor online conversations and discover trends and audience insights quickly, aiding businesses in making informed decisions.
Social listening and monitoring solutions like Brandwatch let’s you customize your search queries using Boolean operators, affording almost unlimited control over what can be searched for.
It can mean typing out long passages of critical terms to ensure the right words are included or excluded. If you’re looking to isolate customer service-related posts on X (formerly Twitter) from other data you may have collected, it requires a bit of thought as to how best to separate them.
Our in-house analysts have put together some commonly used strings of words that can be copied to find certain criteria, such as customer service. This can be great for categorizing and segmenting your data.
We’ve also included queries to track positive and negative sentiment a generic emotive query. The emotive list allows you to distinguish social media mentions that contain opinions about your brand, product, or competitor from those that are less emotionally charged or neutral. It means you can see comments like, “I love my new Sony Bravia screen,” and ignore things like, “Just moving my Sony Bravia into my bedroom.”
To read a quick guide on how to build Boolean queries and how to get it right in Brandwatch, check out our quick query writing checklist.
In the meantime, here’s your cheat sheet for helping you build your queries and searches.[Note: you’ll need to replace "YOUR TOPIC" with your search terms or original query string.]