UnderstandSentiment Analysis
for your brand's reputation
Brandwatch’s sentiment analysis is based on cutting-edge AI research in the fields of deep learning and natural language processing (NLP).
Our data scientists are pioneering the use of Transformer Architecture Language Models (AI models famous for being able to suggest how any text should be completed) to determine sentiment in social data.
What is Sentiment Analysis?
Sentiment Analysis is the tool that allows you to slice the noise surrounding your brand into clean, distinguishable, positive, negative and neutral segments.
Our customers use Sentiment Analysis to:
Assess brand health and compare to competitors
Understand positive and negative topics related to brand or conversations
Identify advocates or detractors that may impact your brand
Powerful
Data ScienceBrandwatch's new and improved sentiment analysis provides cutting-edge new methodologies to provide:
Accuracy
18% better accuracy on average across previously supported languages
Even more supported languages
16 new evaluated languages, with more to come (bringing the current total of officially supported languages to 44)
“One of the key advantages of this new approach is that it makes it more robust when dealing with more complex or nuanced language. The new model can see past things like misspellings or slang.”
Colin Sullivan, Data Scientist at Brandwatch
Monitor real-time sentiment
Sentiment analysis is extremely useful at gaging the current views and opinions on a topic, however, it can also be used to track the long term sentiment surrounding a particular topic or issue.
Monitoring this can show the relative importance and significance of a specific event.
Sort mentions by channel
To dig deeper into Sentiment Analysis you can sort mentions of your brand by:
- Twitter followers
- Site visitors
- Forum posts
- Blog comments
- Chronologically
World-leading social listening
A flexible solution to suit your needs and objectives
What makes Brandwatch different?
AI-powered for speed and accuracy
State-of-the-art AI and deep learning techniques gets you to insights faster
Expert support
A team of 100+ working in Customer Success helps you make the most of the platform from day one
Real-time coverage
Over 500 million new conversations added every day
Historical data
Access to 1.6 trillion historical conversations online, going back to 2010
A reliable, trustworthy partner
Official firehose access to Twitter, Reddit, Tumblr, and the best compliant Facebook and Instagram coverage
Diverse data sources
Access to conversations from over 100 million unique sites and the ability to combine first-party customer data
“We flipped the switch and we were off, Brandwatch is that easy to use. Previously we were paying an agency $85k a year to do this analysis - bringing it in-house, the cost saving is huge.”
– Lauren Hougas, Director, Marketing Analytics at Land O’Lakes
How do our clients benefit from world-leading social listening?
Take a look at these case studies to find out how companies use Brandwatch to collect valuable insights, to share those insights across the organization, and ultimately to grow their businesses.