Sentiment Analysis Applications

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Sentiment analysis is the automated process of analyzing text to determine the sentiment expressed (positive, negative or neutral). Some popular sentiment analysis applications include social media monitoring, brand monitoring, voice of customer, customer service and market research.

1)Social media monitoring

Social media posts often present some of the most truthful points of view about products, services, and businesses because users offer their opinions unsolicited. They are simply compelled to tell the world how they feel. 

But, with the help of machine learning software, you can wade through all that data in minutes, to analyze individual emotions and overall public sentiment on every social platform.

2)Brand Monitoring

Brand monitoring is one of the most popular applications of sentiment analysis in business. With the help of sentiment analysis tool you will be notified about negative brands immediately.

And also you can track your brand’s image and reputation over time or at any given moment. So that you can see and analysis the progress.

3)Voice of Customer

Voice of the customer (VOC) is the cumulative representation of customer feedback across the customer journey. Combine and evaluate all of your customer feedback: from the web, customer surveys, chats, call centers, and emails. Sentiment analysis allows you to categorize and structure this data to identify patterns and discover recurring topics and concerns.

Your first step in using VOC data will be to audit all of the key channels where customers are already providing feedback. The channels should range from online review sites to customer support tickets so that you have a complete view of customer feedback and sentiment.

 

 

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