Text analysis and natural language processing (NLP) are now being used by organizations to break down the complex unstructured text. One of the best examples of this is sentiment analysis.…

Abstract E-commerce is an industry where businesses have to find new ways to understand and fulfill the needs of their customers. It has become more important after the worldwide COVID-19…

For businesses, it's essential to understand how customers feel about their brand and what they think of your organization, product, or service. There is a lot of time and effort…

Text classification is one of the most used machine learning technologies today by modern businesses and corporations. Text classifiers can analyze and categorize text faster and more correctly than humans…

Customer churn, also known as customer attrition is a vital metric that businesses should track. After all, retaining existing customers is just as important as adding new ones. It is…

The recent advancements in machine learning and artificial intelligence have given rise to numerous disruptive technologies. These technologies now assist in decision making, measuring success, and reshaping global business services.…

Sentiment analysis, also known as opinion mining, is a natural language processing (NLP) technique used to analyze textual data. It is capable of analyzing textual data to determine whether it…

The earliest data processing (hospital information systems) systems were introduced in 1960 to store and manage clinical data. The system drew the attention of the healthcare industry and efforts were…