Role of Text Mining in Improving Businesses
Overview You may have different ways to work with structured data, but often the unstructured data goes unused because of the complexity involved in the process. Relying on responses and open-end comments don’t factor in your business goals. Besides, chances are you overlook opportunities, miss out on some valuable customer feedback, and fall behind in optimizing the customer experience. Don’t worry, text mining fixes this problem. Text mining helps businesses extract fruitful information that can be used by sieving through data collected from social media, customer support tickets, Vlogs, Voice Of Customer (VoE), Voice Of Customer (VoC), and other sources.
Real-World Example of Text Mining There’s no doubt, businesses can gain a lot by using text mining solutions. Also, they can deliver valuable information and simultaneously act as a catalyst for business intelligence in every conceivable industry. A handful of applications of a text mining API in businesses are listed below. Let’s have a look! 1. Electronic Health Records In the healthcare industry, text analytics help tremendously in patient management and engagement – right from analyzing patient history to their dosages and responses.
2. Client Nurturing To analyze customer service tickets, call logs, client forums, surveys, social media platforms, emails, tweets, and news feeds, text mining is used. It provides businesses with better insights into what their customers are looking for and which areas need to be reworked. 3. Reputation Management Companies and brands need to maintain a public image, especially in today’s culture. Text mining allows you to understand the captured data from social media listening and Voice of Customer programs by analyzing tweets, comments, news articles, and other feedback that mention anything related to it. Companies can uphold the status of their reputation in real-time by taking measures to thwart the crisis.
4. Cyberbullying and Threat Detections Text mining helps in ensuring that community standards are followed in the comments and tweets on your social channels. Besides, keywords can be categorized as red flags and the text analysis engine will choose them, including synonyms or misspelled words that sometimes dodge the engine. 5. Search Engine Optimization Nowadays, search engines put text mining to use to identify spam and filler content in content marketing websites. The engine can identify several contexts, intent, and variations and mark an email as spam, or even it can penalize a company website that has been trying to increase its search engine ranking by keyword stuffing and other techniques.
6. Social Media Listening Listening to your customer base through comments on social media brings a lot of benefits to the organization. This outlines the fact that with social media listening, there is much more you can learn about your customer which might survey won’t be able to offer. 7. Finding Patterns in Data A crucial aspect in medical treatments and clinical trials, real estate planning and new product development, finding patterns in data historically and presently.
Conclusion: Introducing text mining apps and software have the potential to make it easy for you to steer your business in the right direction. No matter where your customer chooses to share their thoughts, brands can understand the meaning behind their words. So, make the most of your company’s data with the right text analytics API and achieve the competitive edge that will take you through 2022 and beyond.
Understand your data, customers, & employees with 12X the speed and accuracy.
Thank you! Visit: www.repustate.com to learn more