6 ctx_cls package

Oracle Text Application Developer's Guide for more information on document classification. Use this procedure to generate query rules that select document categories. You must supply a training set consisting of categorized documents.

Documents can be in any format supported by Oracle Text and must belong to one or more categories. This procedure generates the queries that define the categories and then writes the results to a table. You must also have a document table and a category table. The category table must contain at least two categories.

You can use one of two syntaxes depending on the classification algorithm you need. TRAIN procedure requires that your document table have an associated context index. For best results, the index should be synchronized before running this procedure. When downgrading the database, you must drop any models that were created in Oracle Database 12 c Release 2 These models are not compatible with earlier releases. The following error occurs if the models are not dropped before the downgrade: ORA One or more models exist that cannot be downgraded.

Oracle Text Application Developer's Guide for more on document classification. Query Compatible Syntax. Use this syntax and preference when different categories are separated from others by several key words.

An advantage of generating your rules as query strings is that you can easily examine the generated rules. This is different from generating SVM rules, which are in binary format. Specify the name of the document ID column in the document table. The values for this column must be stored in an unsigned bit integer and must be in the range Specify the name of the category table.

Specify the name of the document ID column in the category table. The document IDs in this table must also exist in the document table. Specify the name of the category ID column in the category table.This chapter describes new features of Oracle Text and provides pointers to additional information.

Some applications using Oracle Text may therefore require minor changes in order to work properly with this security change. TRAIN procedure has been enhanced to support an additional classifier type called Support Vector Machine method for the supervised training of documents.

The SVM method of training can produce better rules for classification than the query-based method. A cluster is a group of documents similar to each other in content. Oracle Text can filter and index RFC email messages.

This fast filtering preserves only a limited amount of document formatting. This datastore has also been enhanced to switch its XML-like auto-tagging on and off.

6 ctx_cls package

You can replace index metadata preference attributes without having to rebuild the index. Oracle Text includes a tracing facility that enables you to identify bottlenecks in indexing and querying.

A new command, ctxlcenables you to either modify the existing system Japanese and Chinese dictionaries lexicons or create new dictionaries from the merging of the system dictionaries with user-provided word lists. Oracle Text now offers the capability to create a log of queries and to issue reports on its contents, indicating, for example, the most or least frequent successful queries.

What's New in Oracle Text? See Also: Appendix G, " Views". Book List.

Master Index.This package enables you to perform document classification. Use this procedure to generate query rules that select document categories. You must supply a training set consisting of categorized documents.

6 ctx_cls package

Documents can be in any format supported by Oracle Text and must belong to one or more categories. This procedure generates the queries that define the categories and then writes the results to a table.

You must also have a document table and a category table. The category table must contain at least two categories. You can use one of two syntaxes depending on the classification algorithm you need. TRAIN procedure requires that your document table have an associated context index.

For best results, the index should be synchronized before running this procedure. Query Compatible Syntax. Use this syntax and preference when different categories are separated from others by several key words. An advantage of generating your rules as query strings is that you can easily examine the generated rules. This is different from generating SVM rules, which are in binary format.

Specify the name of the document id column in the document table. This column must contain unique document ids. Specify the name of the document id column in the category table. The document ids in this table must also exist in the document table. Specify the name of the query column in the result table. Specify the name of the confidence column in result table.

This column contains the estimated probability from training data that a document is relevant if that document satisfies the query. Specify the name of the preference. Syntax for Support Vector Machine Rules. This preference generates rules in binary format. Use this syntax when your application requires high classification accuracy. Specify the name of user preference. TRAIN procedure is used in supervised classification.

Use this procedure to cluster a collection of documents. A cluster is a group of documents similar to each other in content. Clustering is also known as unsupervised classification. Given a set of documents, this procedure assigns each document into a cluster according to the similarity with documents already in the cluster.

The result is that documents in a cluster are more similar to one another than documents across different clusters. The more clusters produced, the greater the accuracy and quality of each cluster; however, producing more clusters requires more computing time. Cluster output may be flat or hierarchical.

Hierarchical clustering affords greater specificity of each cluster; however, it may require more computing power. In the case where you want to produce only a few clusters, non-hierarchical clustering may suffice. A clustering result set is composed of document assignments and cluster descriptions. The document assignment result set contains information about the cluster to which the procedure assigned a document, and how similar the document is to the assigned cluster.

This result set contains document identification, cluster identification, and similarity score between the cluster and assigned document.This section describes new features of the Oracle Database 10 g Release 2 New features information from previous releases is also retained to help those users migrating to the current release. Oracle Database 10 g Release 2 Oracle Database 10 g Release 1 This format enables users to see the keywords in their surrounding text, providing context for them.

The following features were introduced in the Oracle Database 10 g Release 1 Some applications using Oracle Text may therefore require minor changes in order to work properly with this security change. TRAIN procedure has been enhanced to support an additional classifier type called Support Vector Machine method for the supervised training of documents. The SVM method of training can produce better rules for classification than the query-based method.

A cluster is a group of documents similar to each other in content. Oracle Text can filter and index RFC email messages. This fast filtering preserves only a limited amount of document formatting.

This datastore has also been enhanced to switch its XML-like auto-tagging on and off. You can replace index metadata preference attributes without having to rebuild the index. Oracle Text includes a tracing facility that enables you to identify bottlenecks in indexing and querying.

A new command, ctxlcenables you to either modify the existing system Japanese and Chinese dictionaries lexicons or create new dictionaries from the merging of the system dictionaries with user-provided word lists. Oracle Text now offers the capability to create a log of queries and to issue reports on its contents, indicating, for example, the most or least frequent successful queries.

Skip Headers. What's New in Oracle Text? With these changes, the list of document formats supported by Oracle Text has changed. See Also : Lexer Types. All rights reserved. Book List. Master Index. Contact Us.Generates rules that define document categories. Output based on input training document set. Use this procedure to generate query rules that select document categories.

You must supply a training set consisting of categorized documents. Each document must belong to one or more categories. This procedure generates the queries that define the categories and then writes the results to a table. This procedure requires that your document table have an associated populated context index. For best results, the index should be synchronized before running this procedure. You must also have a document table and a category table. The documents can be in any format supported by Oracle Text.

Specify the name of the document id column in the document table. This column must contain unique document ids. Specify the name of the document id column in the category table. The document ids in this table must also exist in the document table. Specify the name of the category ID column in the category table. Specify the name of the category ID column in the result table. Specify the name of the query column in the result table.

Specify the name of the confidence column in result table. This column contains the estimated probability from training data that a document is relevant if that document satisfies the query. Specify the name of the preference. For attributes, see "Classifier Types" in Chapter 2, "Indexing". TRAIN procedure requires that your document table have an associated context index. For example your document table can be defined and populated as follows:.

You must also create a category table as follows to relate the documents to categories:. TRAIN as follows:. All Rights Reserved. Oracle Text Reference Release 9. Book List. Master Index.The Reds head into the local derby following back-to-back victories over the likes of Stoke City and Brighton and they are likely to stick to their attacking style of play against the Toffees. New coach David Moyes is eyein.

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6 ctx_cls package

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6 ctx_cls package

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