Summary: This course presents a deep dive into FAST ESP's comprehensive set of linguistic features. Costs and benefits for each linguistics feature are explored. At the conclusion of the course, students will be able to determine which linguistic feature(s) can be employed to help solve a particular search application requirement. In addition, students will be able to enable, customize, test, and debug the linguistic features.
Audience: Project managers, developers, and integrators who are interested in learning how to maximize the benefits of the linguistic analyses available in FAST ESP for their search application.
Course Details: In this course students explore Advanced Linguistics in ESP, language and encoding detection, tokenization and character normalization, entity extraction and custom matcher applications, vectorization and noun phrase extraction, lemmatization, synonyms, spelling framework, and phonetic analysis.
Follow-on Courses:
FAST Classifier
Rule-Based Classifier
CIK Support, Parts I & II
FAST University online library subscription