SAS(R) Visual Text Analytics in SAS(R) Viya(R)

Kód kurzu: SVTA35

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SAS Visual Text Analytics enables you to uncover insights hidden within unstructured data using the combined power of natural language processing, machine learning, and linguistic rules. This course explores the five components of Visual Text Analytics: parsing, concept derivation, topic derivation, text categorization, and sentiment analysis. Documents are parsed and analyzed to reveal dominant themes in the document collection. Sophisticated linguistic queries are constructed to satisfy specific information needs. An integrated solution is developed using information extracted from subject matter expert rules, combined with machine learning results for model and rule-based topics and categories. The course includes hands-on use of SAS Viya in a distributed computing environment.

Odborní
certifikovaní lektori

Mezinárodne
uznávané certifikácie

Široká ponuka technických
a soft skills kurzov

Skvelý zákaznicky
servis

Prispôsobenie kurzov
presne na mieru

Termíny kurzov

Počiatočný dátum: Na vyžiadanie

Forma: E-learning

Dĺžka kurzu: 14 hodín

Jazyk: en

Cena bez DPH: 720 EUR

Registrovať

Počiatočný dátum: Na vyžiadanie

Forma: Na vyžiadanie

Dĺžka kurzu: 14 hodín

Jazyk: en

Cena bez DPH: 1 200 EUR

Registrovať

Počiatočný
dátum
Miesto
konania
Forma Dĺžka
kurzu
Jazyk Cena bez DPH
Na vyžiadanie E-learning 14 hodín en 720 EUR Registrovať
Na vyžiadanie Na vyžiadanie 14 hodín en 1 200 EUR Registrovať
G Garantovaný kurz

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Kontakt

Cieľová skupina

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Text analysts, business and marketing analysts, web analysts, BI professionals, customer intelligence professionals, social media analysts, and document librarians

Štruktúra kurzu

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Introduction to SAS Visual Text Analytics

  • Introduction.
  • Language challenges (self-study).

SAS Visual Text Analytics Demonstrations

  • Importing document collections.
  • Creating a project with no predefined concepts.
  • A project with custom concepts.

SAS Visual Text Analytics Nodes

  • Introduction.
  • Concepts and terms.
  • Machine-generated topics.
  • Categories.
  • Scoring new documents.

Concept and Category Rule Definitions

  • SAS Visual Text Analytics rules.
  • SAS Visual Text Analytics concept rules.
  • SAS Visual Text Analytics demo category rules.

Case Studies

  • Retrieving information and documents about anxiety and depression from drug reports.
  • Automatic categorization of ASRS incident reports.
  • Retrieving mortgage complaints from the CFPB customer complaints data (self-study).

Predpokladané znalosti

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Neither SAS programming experience nor statistical knowledge is required. You should be comfortable using a computer, have experience using browser-based software solutions, and have a basic understanding of the differences between structured (numeric) and unstructured (text) data fields.

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