Relativity Analytics Specialist Question And Complete Updated Solutions 2025.

Relativity Analytics Specialist Question And Complete
Updated Solutions 2025.

Conceptual Analytics - Answer helps you organize and assess the semantic content of large,
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diverse and/or unknown sets of documents. Unlike structured analytics, which relies on the
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specific structure of the content, conceptual analytics focuses on related concepts within
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documents, even if they don't share the same key terms and phrases.
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Conceptual analytics helps reveal the facts of a case by doing the following: - Answer Giving users
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an overview of the document collection through clustering
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Helping users find similar documents with a right-click
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Allowing users to build example sets of key issues
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Running advanced keyword analysis tx tx tx




Structured v. Conceptual - Answer Takes word order into consideration v. Leverages Latent
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Semantic Indexing (LSI), a mathematical approach to indexing documents
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Doesn't require an index (requires a set) v. Requires an Analytics Index
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Enables the grouping of documents that are not necessarily conceptually similar, but that have
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similar content v. Uses co-occurrences of words and semantic relationships between concepts
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Takes into account the placement of words and looks to see if new changes or words were added
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to a document v. Doesn't use word order
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,Analytics Indexes - Answer It doesn't use any outside word lists, such as dictionaries or thesauri,
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and it isn't limited to a specific set of languages. Unlike textual indexing, word order is not a factor.
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The searchable set and training set used for Analytics index creation are now referred to as the
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data source and training data source.
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Permissions for the Search Index object must be kept in sync with permissions on the Analytics
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Index object.
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The basis of conceptual analytics and Active Learning is an Analytics index. There are two types of
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indexes: - Answer Conceptual - uses Latent Semantic Indexing (LSI) to discover concepts between
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documents. This indexing process is based solely on term co-occurrence. The language, concepts,
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and relationships are defined entirely by the contents of your documents and learned by the
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index.
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Classification - uses coded examples to build a Support Vector Machine (SVM) to predict a tx tx tx tx tx tx tx tx tx tx tx tx tx tx




document's relevance. This index is used solely by the Active Learning application. Classification
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indexes learn how terms are related to categories based on the contents of your documents and
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coding decisions made within the Active Learning project.
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You can run the following Analytics operations on documents indexed by a conceptual index: -
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Answer Analytics categorization sets
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Clustering

Concept searching tx




Keyword expansion tx




Find similar documents tx tx




Securing an Analytics index - Answer If you want to apply item-level or workspace-level security to
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an Analytics index, you must secure both the Analytics Index object and the Search Index object
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for that particular index.
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,Restricting a group from viewing an Analytics Index does not restrict them from searching on the
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index unless access to the corresponding Search Index is also restricted.
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If you're applying item-level security from the Search Indexes tab, you may need to create a new
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view and add the security field to the view.
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Analytics index console operations - Answer Once you save the Analytics index, the Analytics
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index console appears. From the Analytics index console, you can perform the following
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operations:
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Populating the index tx tx




Monitoring population/build status tx tx




Retrying exceptions tx




Viewing conceptual index document exceptions
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Showing population statistics tx tx




Showing index statistics tx tx




Population statistics and index statistics are only available for conceptual indexes.
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Populating the index - Answer To populate the Analytics index on the full set of documents, click
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Run on the Analytics Index console, then choose Full from the modal that appears. This adds all
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documents from the data source and training data source to the ready-to-index list. Document
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"preprocessing" also occurs to clean up text. This includes the following:
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Numbers and symbols are ignored. tx tx tx tx




All words are made lowercase.
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Filters found under Advanced Settings are applied (for example, email header filter).
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, Once population is complete, the index builds.
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If you have access to SQL, you can change the priority of any Analytics index-related job (index
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build, population, etc.) by changing the value on the Priority column in the
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ContentAnalystIndexJob database table for that index. This column is null by default, null being
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the lowest priority. The higher you make the number in the Priority column, the higher priority
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that job becomes. When you change the priority of a job while another job is in progress,
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Analytics doesn't stop the in-progress job. Instead, the job will finish before starting on the new
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highest priority.
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Incremental population - Answer Once population is complete, you have the option to populate
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incrementally to account for new or removed documents from the data source and training data
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source on the ready-to-index list. To perform an incremental build, click Run on the console, then
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choose Incremental from the modal that appears.
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If, after building your index, you want to add any documents that were previously excluded from
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training back into the training data source document pool, you must disable the Optimize training
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set field on the index and perform another full population. An incremental population does not
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re-introduce these previously excluded documents.
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Incremental population automatically triggers a rebuild of the classification index. tx tx tx tx tx tx tx tx tx




Documents greater than 30 MB - Answer Analytics indexes automatically suppress documents
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greater than 30 MB before sending them to the Analytics engine. Suppressed large documents
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will appear in the Document Exceptions. You can also view suppressed documents from the
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Document list by using the Excluded from Training and Excluded from Searchable Set choices on
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the Analytics Index Document field.
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Building the index - Answer Once population is complete, the index will build automatically.
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During this phase, training data source documents and Latent Semantic Indexing (LSI) are used to
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build the concept space based on the relationships between words and documents. Data source
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