Keyword mining is the process of searching for a list of keywords or phrases that are relevant for a specific business. Keyword mining tools basically search words in documents and retrieve one or more results. These results are the documents that contain the searched words/keywords, and you would need to read each and every document
Over the last 20 years, the use of social media has spread throughout the world. In just a short time, social networks have become the largest platform for information exchange. Each day, information is exchanged through websites, and each user can express his or her opinion that is considered useful material for analysis. By analyzing
Effective keyword identification is crucial for all enterprise processes that involve content analysis, document classification and information retrieval. It provides a comprehensive list of words relevant for a specific webpage or any type of document. Why SEO keywords are important Keyword identification in SEO activities aims to create a list of keywords that are relevant
In recent years, the relevance of open source intelligence (OSINT) has grown within the field of information management. In fact, open source intelligence provides a large amount of the information used by intelligence analysts and corporate security analysts to identify potential hidden risks or make strategic decisions in time. While there are many advantages to
Improving our ability to find the right information at the right time is important for every business and every user. The constant growth in unstructured information makes text mining applications increasingly important in achieving this goal. In looking ahead to see how text mining will solve some of our biggest challenges in extracting the value
As we’ve mentioned before, text mining is the “the process of deriving high-quality information from text”. Text mining is a broad term that covers a variety of techniques for extracting information from unstructured text. In this post, we’re going to talk about text mining algorithms and two of the most important tasks included in this
Data is being generated in a variety of formats, and at a rate that shows no signs of slowing down. Identifying information that can support decision making among thousands of documents, web pages and social media feeds is a complex and time-consuming process. Because it’s simply too much to read quickly, this information is often
Business data (over 80% of which includes text-based information) is an organisation’s most important assets. When it comes to choosing the best text data mining software and tools, determining the right solution for optimizing strategies for unstructured information management and text analytics isn’t easy. Perhaps there is no single, perfect solution. But the best scenario
After Harvard Business Review named Data Scientist as “The Sexiest Job of the 21st Century”, jobs in the data industry have exploded. With this massive growth – there is a large need to new vendors to manage this data, new research departments on how to use it and conferences based on education and networking for
Text mining predictive methods help organizations enhance the value of unstructured information by deploying insight from text analysis in software applications and business processes. Once textual information is transformed into a set of structured data using text mining (or text analytics) it can be combined with traditional data mining algorithms to generate new insight for
Marco Varone
Daniel Mayer
Andrea Melegari
Marketing Staff