Sentimental Analysis for Social Media

Sentiments – Real or Reel?

Sentiments. Do they matter?

Yes, when they come to humans, they do. But what about businesses? And even if the answer is yes, where do we find the sentiments generated for any business?
Ask a social media marketer about the importance of sentiments, and they would keep talking about it all day long. As far as novices are concerned, why is sentiment analysis so important? It is because social media today is the biggest marketing platform and it is important to know what people are talking about your brand, whether it is positive or negative.
What if your brand receives 25,000 mentions on Twitter in a day and God forbid if they are just complaints about your product or poor customer service? How will you tackle this issue? This is one scenario where social media sentiments play a significant role. Knowing the underlying emotions behind every post of an individual on social media gives you the right way to proceed and tackle the problem.

What does sentiment analysis help your brand with?

As a social media marketer, the more we know about our audience emotions, the better is our campaign strategy and content creation. Remember the massive meme blunder by Food Talk India? The intention of the post was a slight humour distinguishing arranged and love marriage regarding cooking. It did go viral, but for all the wrong reasons! And that’s exactly where sentiment analysis comes into play. By monitoring the emotions generated on a post, one can analyse adverse comments from a person and handle it directly on social media. You can also identify the point where negativity starts on your post and react to it actually before it spreads.

Sentiment Analysis Tool

Social media analytics provides the business with important metrics like how many people have liked their page, what is the reach of the content posted, the impressions generated daily, etc. While these metrics are easy to track, sentiment analysis is a tricky one. And so, the market has created sentiment analysis tools that help a business track, monitor, and understand the sentiments in the market about their brand.

The sentiment analysis within Synctag is powered by IBM Watson Analytics. Synctag’s sentiment analysis helps you determine the emotional tone behind a series of words which can be used to gain an understanding of the attitudes, opinions and emotions expressed about your brand or business in an online mention.

Synctag’s post sentiment analysis determines the different emotions whether positive, negative or neutral that are generated on your posts based on the keywords used in creating the post. As an add-on service, Synctag also provides you with a relevance score which helps you determine the relevancy a keyword holds with your audience. Only if the keyword is relevant, sentiments stir positively in the audiences’ mind, and a keyword with a good relevant score is an indication of it being used quite often.

Synctag’s comment sentiment analysis will tell the business whether the sentiment of the keywords in the published post has matched the audiences’ emotions eventually. If you see more negative than positive emotions, then something in your content writing style needs to be changed.

Keen on identifying the sentiments generated for your brand?

Give Synctag a try, and in no time, it will be your favourite sentiment analysis tool.  Signup 

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