These tools automatically assign sentiment (positive, negative, or neutral) to collected mentions and to flag the ones that cannot be analyzed well enough to be assigned with a sentiment manually and as per the grouping the entries are sent to promotion or demotion relays which will be covered in later stages.
3 W's of Analysis
Analysis is our Super Power. We research every inch of digital information to come up with the insights that help you make better decisions and results.01
We’re on a mission to discover every person of interest and their preferences. Our vision is to use what we learn to understand the audience better.02
Research and Analytics
Understanding your target audience is key to the success of any Campaign Strategy. Whether your goal is to gain more control over how you are perceived online, or to improve the quality of information that exists out there, Sentiment Analysis is a powerful stage to have at your disposal. It's Likely be the most critical component of any strategy. Our strategy helps you gain more control over how your brand is perceived online.
Once you understand people’s opinion, you will be able to develop a targeted Campaign. We can use sentiment analysis techniques beyond the scope of social media. We look at sentiment in the context of search results and visibility. Something with a strongly negative sentiment that is far back in search results is less of a threat than something of slightly negative sentiment that sits at the top of page one in Google or Bing.
Monitor and Adapt
It is essential to maintain a pulse on what people are saying about you online. The more closely you monitor the feelings and opinions that people have about you, the easier it will be to grow and adapt over time. We continuously monitor search results, news archives and other public resources to determine what people are saying about you online. The better monitoring system resists a better chance of changing the narrative.
Sorting Data at Scale
Can you imagine manually sorting through thousands of tweets, facebook posts or reddit threads? There’s just too much data to process manually. Sentiment analysis helps us process huge amounts of data in an efficient and cost-effective way.
What are the repercussions of speech you just made in public. Sentiment analysis models can help us immediately identify these kinds of situations, so you can take action right away.
It’s estimated that people only agree around 60-65% of the time when determining the sentiment of a particular text. Tagging text by sentiment is highly subjective, influenced by personal experiences, thoughts, and beliefs.
Develop a more powerful campaign strategy
Quickly respond to feedback (both negative & positive)
Measure the impact of social media efforts