futureanalytica

  Churn Prediction is the process of predicting which customers are most likely to cancel a subscription, i.e. “leave a company,” based on their usage of the service. Churn quantifies the number of clients who have left your brand by canceling their subscription or stopped paying for your services. This is bad news for any business as it costs five times as much to attract a new client as it does to keep being one. A high client churn rate will hit your company’s finances hard. By using advanced artificial intelligence ways like machine learning, you’ll be capable to anticipate implicit churners who are about to abandon your services. Why is Churn Prediction Important? Client churn is a common problem across businesses in numerous sectors. However, you have to invest in acquiring new guests, if you want to grow as a company. Every time a customer leaves, it turns out to be a significant investment loss. Both time and trouble need to be conducted into replacing them. Being suitable ...

  What is Sentiment Analysis? Sentiment analysis is a type of textbook exploration aka mining. It applies a blend of statistics,  natural language processing  (NLP), and machine literacy to identify and root private information from text lines, for case, a critic’s passions, studies, judgments, or assessments about particular content, event, or a company and it’s conditioning as mentioned over. This analysis type is also known as opinion mining (with a focus on birth) or effective standing. Some specialists use the terms sentiment bracket and birth as well. Anyhow of the name, the thing of sentiment analysis is the same to know a user or audience’s opinion on a target object by anatomizing a vast quantum of textbooks from colorful sources. Sentiment analysis  is part of the major marquee of text mining, also known as text analysis. This type of analysis excerpts meaning from numerous sources of text, similar to checks, reviews, public social media, and indeed papers ...