The technology that analyses the actual sentiment behind a text or piece of material is known as sentiment analysis. Sentiment analysis, also known as opinion mining, is a type of artificial intelligence (AI) that uses...
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"Information overload occurs when the amount of input to a system exceeds its processing capacity. Decision makers have fairly limited cognitive processing capacity. Consequently, when information overload occurs, it...
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Enterprises today are making efforts to leverage the power of data to stay ahead of the competition. Data is a powerful factor today and the large volumes of enterprise data hold within it, insights that can help...
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Did you know that more than 80% of enterprise data consists of unstructured data? This data by Statista showcases the complexity of text analysis when it comes to enterprise data. After all, unstructured data is very...
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What is the definition of data integration? Data integration is a method of data preparation that combines data from several sources and presents it to users in a logical manner. Data integration is the process of...
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What is open source? It is defined as software released under a license that implies the owner has given the rights to use, analyze, modify and distribute the software as well as its source code to anybody and for any...
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Enterprise search needs to be more effective today than ever as we are living in an era where enterprise data is not just increasing in volume but also getting more complex than ever. The enterprise search platform has...
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What is data integration/content integration and what is its significance in data mining? Content integration is a data preparation approach that brings together data from several sources and presents it to users in a...
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When you think about the new age search engines, what you find really amazing is the level of accuracy that these platforms achieve. In other words, it's the capability of the search engine to fetch the most relevant...
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Because enterprise data is complex and unstructured, analysing it is one of the most challenging challenges facing businesses today. Because this data can't be examined using traditional keyword-based methods, it needs...
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