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River Publishers Series in Document Engineering Series

Functional Applications of Text Analytics Systems

Hardback
March 2021
9788770223430
More details
  • Publisher
    River Publishers
  • Published
    29th March
  • ISBN 9788770223430
  • Language English
  • Pages 350 pp.
  • Size 6" x 9"
$115.00
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March 2021
9788770223423
More details
  • Publisher
    River Publishers
  • Published
    25th March
  • ISBN 9788770223423
  • Language English
  • Pages 350 pp.
  • Size 6" x 9"
$115.00

Text analytics consist of the statistics about a text element, which includes the word count, the word histogram, and the word frequency histogram. Most text documents of value are related to other—sometimes many other—documents, and so analytics describing the relative frequency of terms in a document compared to its peers are important for defining key words (tagging, labeling, indexing), search-responsive terms (query terms), and compressed versions of the documents (key words, summary, etc.).This clearly written text explains the functional applications of search, translation, optimization, and learning with regard to text analytics. Generation of analytics is aided by a hybrid, ensemble, or other combinatorial approach in which two or more effective analytic processes are used simultaneously, and their outputs combined to form a better “consensus”. Additional value to the preservation of the information is provided through these methods. Also, since they encompass capabilities of two or more knowledge-generating systems, they can create a “superset” of access points to the data generated. The book also describes the role of functional approaches in the testing and configuration of these systems.

1. Linguistics and NLP
2. Summarization
3. Clustering, Classification and Categorization
4. Translation
5. Optimization
6. Learning
7. Testing and Configuration

Steven Simske

Steven Simske is a Professor in the Systems Engineering Department at Colorado State University (CSU), where he leads research on analytics, cybersecurity, sensing, imaging, and robotics. A former Fellow in HP Labs, Steve was in the computer and printing industries for 23 years before joining CSU in 2018. He holds more than 200 US Patents and has more than 450 publications. This is his fourth book.

Marie Vans

Marie Vans is a senior research scientist at HP Labs in Fort Collins, currently working in the AI and Emerging Compute Lab where she is focused on developing virtual reality simulations for education, product introduction, and analytics associated with educational experiences in VR. She is also on the faculty of the San José State University, School of Information. She holds a Ph.D. and M.S. in Computer Science from Colorado State, an MLIS from San José State University, and has more than 55 published papers and 35 U.S. granted patents.

Text analytics; document engineering; Linguistics; Natural Language programming; tagging; labelling; indexing; functional analytics; text searching