Relativity Analytics Specialist Exam -
10.3
conceptual analytics - Answer helps you organize and assess the semantic content of
large, diverse and/or unknown sets of documents
conceptual analytics helps reveal the facts of a case by doing the following - Answer 1.
giving users an overview of the document collection through clustering
2. helping users find similar documents with a right-clock
3. allowing users to build example sets of key issues
4. running advanced keyword analysis
conceptual analytics index - Answer uses latent semantic indexing (LSI) to discover
concepts between documents. this indexing process is based solely on term co-
occurence. the language, concepts, and relationships are defined entirely by the
contents of your documents and learned by the index.
classification analytics index - Answer uses coded examples to build a support vector
machine (SVI) to predict a document's relevance. this index is used solely by the active
learning application. classification indexes learn how terms are related to categories
based on the contents of your documents and coding decisions made within the active
learning project.
LSI (latent semantic indexing) - Answer a wholly mathematical approach to indexing
documents. instead of using any outside word lists, such as a dictionary or a thesaurus,
LSI leverages sophisticated mathematics to discover term correlations and
conceptuality within documents.
LSI (latent semantic indexing) is language-agnostic - true/false - Answer true
concept space - Answer a mathematical model of your document relationships used by
LSI
concept rank - Answer a measurement of item similarity using a rank value
hyperplane - Answer a high-dimensional model used by SVM that analytics uses to help
differentiate between relevant and not relevant documents
