Text mining possesses a perfect solution for unstructured big data sets to be processed. It extracts valuable information from voluminous data stored in the cloud or data warehouses. Here is a look at the best real-world text mining applications demonstrating the pragmatic data techniques and impacting businesses.
A majority of organizations today glean and store voluminous amounts of data and this data is relentlessly growing at an exponential rate. Processing this amount of data, however, becomes a challenge for businesses with conventional tools. In this way, text mining has garnered much attention in the last few years, translating unstructured text data into meaningful and actionable insights. Also known as text analytics, text mining leverages various AI technologies to automatically process data and produce valuable information, enabling enterprises to make data-driven decisions.
In general, text mining refers to a multidisciplinary field incorporating the likes of data mining, statistics, machine learning, information retrieval, and computational linguistics.
Here is a look at the best real-world text mining applications demonstrating the pragmatic data techniques and impacting businesses.
Data extraction technique refers to the extraction of insightful information from enormous trove of textual data. It involves the retrieval of data from diverse sources. The information extracted is then stored for further analysis or use in a separate database. Afterward, precision and reminiscence processes are used to check the efficiency and relevancy of outcomes to drive data-driven decisions.
‘Data is the new science. Big Data holds the key answers’ - Pat Gelsinger The biggest advantage that the enhancement of modern technology has brought
We need no rocket science in understanding that every business, irrespective of their size in the modern-day business world, needs data insights for its expansion. Big data analytics is essential when it comes to understanding the needs and wants of a significant section of the audience.
In this article, see the role of big data in healthcare and look at the new healthcare dynamics. Big Data is creating a revolution in healthcare, providing better outcomes while eliminating fraud and abuse, which contributes to a large percentage of healthcare costs.
Big Data Analytics is the next big thing in business, and it is a reality that is slowly dawning amongst companies. With this article, we have tried to show you the importance of Big Data in business and urge you to take advantage of this immense...
A data expert discusses the three different types of data lakes and how data lakes can be used with data sets not considered 'big data.'