Supportsoft Glossary

Sentiment Analysis for Customer Insight and Monitoring

Sentiment analysis uses artificial intelligence (AI) algorithms to identify the emotional tone of text data. It allows organisations to determine whether feedback, reviews or social media posts are positive, negative or neutral in terms of customer opinion.

Sentiment analysis can be used by businesses to track their brand through customer sentiment, enhance the overall customer experience and help identify new trends and issues that arise from customer sentiment.

Sentiment analysis, when used in the context of the IT (Information Technology) and ITES (IT Enabled Services) sectors, can assist businesses in optimising their customer support systems, monitoring service quality and analysing customer feedback. Sentiment analysis enables the prioritisation of activities based upon the emotions expressed by the customer and provides an opportunity to optimise response strategies.

Through the integration of sentiment analysis into analytics tools, businesses can perform real-time monitoring and use data to inform decision-making. The ability to respond rapidly and proactively to customer concerns is therefore enhanced.

By monitoring and capturing customer sentiment at scale, organisations strengthen their relationships with customers, protect their brand's reputation and cultivate an environment of continuous growth and improvement.