What is content classification? Content classification is defined as the process of classifying the content on the basis of predefined categories. It can be done manually or with the help of algorithms. While the...
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Sentiment analysis is the technology that determines the exact sentiment behind a text or content. Also referred to as opinion mining, sentiment analysis is based on artificial intelligence (AI) and makes use of NLP,...
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What is data discovery? Well, data discovery is a process which is all about processing and analyzing the large variety of enterprise data for key insights. In other words, data discovery is all about making...
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Enterprise search engines are key to the success of enterprises today because they help enterprises analyze and make the best use of the large volumes of data. We all know that data is the most significant asset of...
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What is enterprise data and how is it different from the data that we see and come across on the World Wide Web? Well, the differences are quite a handful, but one of the key differences is that while the data on the...
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Analyzing enterprise data is one of the biggest challenges faced by enterprises today, and it is because the enterprise data is complex and unstructured. This data cannot be analyzed using the traditional keyword-based...
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Data is becoming an all-encompassing challenge today for every enterprise across different domains. As data continues to grow, it gets more and more challenging for enterprises to be able to analyze this data in a...
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Wikipedia defines Semantic search as "Semantic search seeks to improve search accuracy by understanding the searcher's intent and the contextual meaning of terms as they appear in the searchable dataspace, whether on...
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As the world moves towards digitalization, data is emerging as the most significant asset for enterprises across the globe. This has made enterprises worldwide seriously consider investing in technology that empowers...
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Given the exponential growth in medical literature, finding relevant information sooner is critical. Researchers, with more content and less time to analyse, need systems that are smart and intelligent enough to...
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