Understand the dominant sentiment for your brand
Posted: Sat Feb 01, 2025 9:53 am
Sentiment analysis is a process of classifying text into positive, negative, or neutral groups. It’s an important part of social media brand monitoring because it gives you a clear idea of what your customers think about your brand.
Positive sentiment – Shows what customers like and about your product and how you can improve it
Negative sentiment – Shows you what customers don’t like about your product and what you’re doing wrong
Neutral sentiment – Lacks strong positive or negative sentiment
For most companies, the trick is to find and deal with bad reviews—or negative sentiment—before they get out of hand and decide how to take action (improve service, apologize, offer a voucher.)
The paid tools mentioned earlier have sentiment analysis built into their interfaces, making identifying bad comments easy.
For example, on Brandwatch, here’s anpharmacy database example of how this tool flags negative sentiment reviews.
negative sentiment example via brandwatch
Here is an example of a positive sentiment review using the same tool. The comments are clearly labeled in these examples.
positive sentiment example via brandwatch
Sprout Social also has a sentiment summary to see how people react to your social media posts.
sentiment summary via sprout social
Awario is another tool with good sentiment analysis functionality and charts customer sentiment in a clear dashboard.
sentiment analysis results via awario
Mention is also a cost-effective (and my personal favorite) way to monitor your brand, as well as monitoring websites and forums. It also works across social media from TikTok to Pinterest and (even radio and TV in the U.S.)
sentiment analysis summary via mention com
There is no shortage of paid tools for monitoring social media sentiment—but they often come at a price.
If you want a more cost-effective alternative to these tools and are prepared to do some work, you can use a tool like Text to Data’s Google Sheets API. It costs around $17 for 5000 API calls.
Here’s a demo of how it works, and here’s my 30-second test using the Sheets API and some made-up reviews to test how it classed them.
my scrappy sentiment analysis in google sheets
If you have comments on a particular post you’d like to analyze, you could use this tool to analyze the sentiment and scrape data from your social media feed using a tool like Panda Extract.
Positive sentiment – Shows what customers like and about your product and how you can improve it
Negative sentiment – Shows you what customers don’t like about your product and what you’re doing wrong
Neutral sentiment – Lacks strong positive or negative sentiment
For most companies, the trick is to find and deal with bad reviews—or negative sentiment—before they get out of hand and decide how to take action (improve service, apologize, offer a voucher.)
The paid tools mentioned earlier have sentiment analysis built into their interfaces, making identifying bad comments easy.
For example, on Brandwatch, here’s anpharmacy database example of how this tool flags negative sentiment reviews.
negative sentiment example via brandwatch
Here is an example of a positive sentiment review using the same tool. The comments are clearly labeled in these examples.
positive sentiment example via brandwatch
Sprout Social also has a sentiment summary to see how people react to your social media posts.
sentiment summary via sprout social
Awario is another tool with good sentiment analysis functionality and charts customer sentiment in a clear dashboard.
sentiment analysis results via awario
Mention is also a cost-effective (and my personal favorite) way to monitor your brand, as well as monitoring websites and forums. It also works across social media from TikTok to Pinterest and (even radio and TV in the U.S.)
sentiment analysis summary via mention com
There is no shortage of paid tools for monitoring social media sentiment—but they often come at a price.
If you want a more cost-effective alternative to these tools and are prepared to do some work, you can use a tool like Text to Data’s Google Sheets API. It costs around $17 for 5000 API calls.
Here’s a demo of how it works, and here’s my 30-second test using the Sheets API and some made-up reviews to test how it classed them.
my scrappy sentiment analysis in google sheets
If you have comments on a particular post you’d like to analyze, you could use this tool to analyze the sentiment and scrape data from your social media feed using a tool like Panda Extract.