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Showing posts from May, 2022

Our no-code AI Platform

  FutureAnalytica.ai   platform helps you not only build the models at ease but you can also deploy the model in minutes with our one-line API generated with a click of a button. The models yield intelligence through the highly interactive Exploratory Data Analysis (EDA) capability. Our platform offers to generate and create top-notch 📊📈visualizations which are highly powerful and interactive, giving 95% accurate insight with Predictive & Text Analytics to drive your business 🚀ROI. Reach out to us for a free Demo 🖥️ and Get Connected at 👉  info@futureanalytica.com  |  https://lnkd.in/dPb7miiH

AI-based Text Analytics & Its Solutions

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  What is AI-based Text Analytics Your business has access to innumerable data sources with feedback from your clients, customers, employees, vendors, and more. This unstructured data holds the key to achieving your customer experience goals, but it requires specialized solutions to analyze it properly.  Text analytics  technology introduces an automatic approach to analyzing and visualizing unstructured text data for qualitative measurements. Imagine gaining actionable insights from every email, social media post, chat message, and survey. Text analytics allows your business to find out more about what people are talking about, thinking, and feeling when engaging together with your products and services. The differentiation between Text Analytics, Text Mining, and Natural Language Processing: To fully understand text analytics, you furthermore may need to know about text mining and  natural language processing . Text mining processes large sets of unstructured data ...

Text Mining and Analytics

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  Analyzing a text to better understand it is called text mining. This practice can be applied to large collections of documents, such as books and news stories, or smaller sets of texts such as a particular email archive or a collection of personal messages. Text mining and analytics are powerful techniques that can help marketers extract a lot of useful information from your website or the websites of competitors. It is extracting information and mining knowledge from unstructured data stored in plain text. Its application is fascinating. It helps in getting insights into any given text that is unstructured. With the data obtained from these techniques, you will be able to make smart decisions in terms of content creation and social media strategy. However, there is a lot of terminological confusion when it comes to text mining and analytics. Text mining is a really interesting, and often fun, topic to learn as you can use it for many different tasks. One of my personal favorites...

How AI helps in Text analytics

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  Given that 80% of business information is mostly unstructured-textual data, which has become crucial for the modern enterprise to continue and, to attract, engage and satisfy 🙂 customers while staying ahead of the competition. At  FutureAnalytica.ai , our advanced  #TextAnalytics  helps you analyze large sets of text-based data in a 📈scalable, consistent and unbiased manner. Our seamless onboarding, plug and play tools, data transfer local, API to build a data lake and knowledge transition. Customer communication data can be digested at scale and analysed to find data-driven insights for customer service teams to outperform their KPIs. For example, you sent 📥 email complaint of high concern to a company about one of their products. With the help of Text Analytics, it can be routed to an appropriate representative who can address them and respond faster with proper speech-to-text software in place. Deliver smooth customer experiences and automate all end-to-end p...

How AI is Helpful in Text Analytics

  ❓Did you know studies show that 😊customers who have an emotional relationship with a brand boast a 306% higher lifetime value than those who don't. FutureAnalytica.ai  gives you the fastest and easiest text analytics solutions for consumer and market research. We provide actionable insights to 👩🏻‍💻👨‍💻 professionals. Our robust models showcase 95% accuracy with a click of a button used across the data lake, and the data lake house integrates businesses with seamless applications. Learn how our leading insights empower clients to understand their open-ended consumer feedback better today. 🚀Increase uptime, and improve quality & consistency, which allows for better forecasting. Request for free Demo 🖥️ and Get Connected at 👉  info@futureanalytica.com  |  https://bit.ly/3NRJPSo  

Find out how AI-based and data-science solutions enable and comprehend customer behaviour and increase revenue in the Telecom industry

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  What is Customer Segmentation in Telecom Industry Customer segmentation  is known as market segmentation, the process of dividing customers into different groups. Based on common characteristics, such as demographic, psychographic, geographic, behavioral, and firmographic. Organizations market to each group effectively and appropriately. Customer segmentation is an increasingly important part of a strong marketing strategy. The division into varied segments allows marketers to adapt their marketing efforts to various audience subsets. These efforts can relate to both product and communications development. Classification helps a company to create and communicate with properly targeted marketing messages that will resound with specific groups of customers. It selects the best communication channel for the segment, which might be social media posts, radio advertising, email, or another approach, depending on segmentation. It identifies ways to improve old products or new produ...