Functional Applications of Text Analytics Systems

Text analytics involves analyzing text elements such as word count, histograms, and frequency histograms to define key words, search-responsive terms, and compressed versions of documents. It is used in search, translation, optimization, and learning, and is generated through a hybrid, ensemble, or combinatorial approach. Functional approaches are used in testing and configuration.

Format: Hardback
Length: 350 pages
Publication date: 31 January 2021
Publisher: River Publishers

Text analytics encompass a range of statistical measures that provide insights into the characteristics of textual content. These measures include word count, word histogram, and word frequency histogram, which collectively shed light on the distribution and usage of words within a text. Given the significance of text documents in various domains, the analysis of their relative frequency of terms compared to their peers becomes crucial for defining key words, tagging, labeling, indexing, and search-responsive terms. This information is invaluable for enhancing search functionality, improving translation processes, optimizing content, and facilitating learning.

The generation of text analytics is facilitated by a hybrid, ensemble, or other combinatorial approach, which involves the simultaneous application of two or more effective analytic processes. These processes are integrated to form a more robust and consensus-driven outcome. By combining their outputs, text analytics systems can provide a comprehensive view of the information, offering a broader range of access points to the data generated.

Furthermore, the book delves into the role of functional approaches in the testing and configuration of text analytics systems. These approaches emphasize the practical application of text analytics techniques to real-world problems, ensuring their effectiveness and reliability in various domains. By employing functional approaches, organizations can gain a deeper understanding of their textual data and extract valuable insights that drive decision-making and improve their operations.

In conclusion, text analytics plays a vital role in modern information processing and analysis. By leveraging word count, word histogram, and word frequency histogram, along with hybrid, ensemble, and combinatorial approaches, organizations can gain a deeper understanding of their textual data and extract valuable insights that drive decision-making and improve their operations. The book provides a comprehensive guide to text analytics, covering its theoretical foundations, practical applications, and testing and configuration methodologies, making it an essential resource for professionals and researchers in the field.

Weight: 582g
Dimension: 163 x 241 x 23 (mm)
ISBN-13: 9788770223430