Text Analytics Turning Words into Data Note Rajkumar Venkatesan Shea Gibbs 2019
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“In this digital age, text analytics, also called natural language processing (NLP) and machine learning (ML), is a vital tool in business intelligence (BI) analysis.” This is the start of a business intelligence presentation I created to help stakeholders understand how NLP can transform the way we interpret text data. The presentation will cover: 1. The history and evolution of text analytics. 2. NLP’s importance in BI analysis. 3. The use of NLP in text classification and entity recognition. Get More Info 4. The use of
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I am a software developer, and as the world is moving towards technology driven businesses, I find that the analytics department has a great demand for data scientists. Recently I attended a seminar at Harvard Business School, on Text Analytics, which made me even more interested in the field. Text analysis is a subfield of Natural Language Processing (NLP) that helps to convert written text into numerical data. Text analytics allows us to extract and categorize meaning from large amounts of textual data. This data can be analyzed using techniques like natural language processing
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I have always admired the magic of words. Every single word is a piece of art, a canvas on which you can create beautiful masterpieces. But do you know that technology has brought about an entirely new level of expression through text analysis? It’s all about analyzing text and extracting relevant information from it. Here’s a practical example. Imagine a customer feedback platform. Customers leave their feedback on a product, and that feedback is processed using text analysis. The software analyzes the customer feedback and comes up with several insights like the type of products
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The field of Text Analytics is transforming. It’s no longer just about looking at words in a document. The technology is getting more robust, intelligent and affordable. I remember when Google was just a search engine. Now, it’s a data-driven, intelligence-driven, cognitive machine. The future is here and it is already transforming businesses and industries. Business intelligence software like Tableau and Power BI helps businesses extract insights from data. Tableau is a data visualization software used by 1
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Text Analytics Turning Words into Data Note: Rajkumar Venkatesan and Shea Gibbs have done some very interesting work. In this case study, they show how text analytics can turn words into data. This is something many companies have been doing for years, but this article shows how you can do it with a software system that is easy to install and use. The results are quite impressive. I really appreciate it. The software they are using is called NLP Analyzer. This is a paid product but it is very easy to use and you can
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– 137 billion words per year (based on an average of 11.5 million words per second per capita per year) – 500 million tweets per day (1.2 million tweets per hour) – Over 300 million documents processed each month (each document with words) These numbers make clear how important text analytics is to companies. It’s more than just a “niche technology,” according to Rajkumar Venkatesan, VP of Research at Gartner. Text analytics