shingle-topic-model.conf.schema.xml Maven / Gradle / Ivy
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Show all versions of org.apache.stanbol.enhancer.engine.topic Show documentation
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Implementation of an annotation engine that links the content item
to a set of possible categories from a dedicated Solr index using
MoreLikeThis queries.
The classification can be either applied to a complete document
(text in a given language) which is the default behavior or to a
specific portion of the text (using a TextAnnotation).
The newest version!
<?xml version="1.0" encoding="UTF-8" ?> <!-- Licensed to the Apache Software Foundation (ASF) under one or more contributor license agreements. See the NOTICE file distributed with this work for additional information regarding copyright ownership. The ASF licenses this file to You under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0 Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License. --> <schema name="shingle-topic-model" version="1.3"> <types> <fieldType name="uuid" class="solr.UUIDField" indexed="true" /> <fieldType name="string" class="solr.StrField" sortMissingLast="true" omitNorms="true" /> <fieldType name="tint" class="solr.TrieIntField" precisionStep="0" omitNorms="true" positionIncrementGap="0" /> <fieldType name="tfloat" class="solr.TrieFloatField" precisionStep="0" omitNorms="true" positionIncrementGap="0" /> <fieldType name="tdate" class="solr.TrieDateField" omitNorms="true" precisionStep="6" positionIncrementGap="0" /> <fieldType name="random" class="solr.RandomSortField" indexed="true" /> <fieldType name="text" class="solr.TextField"> <analyzer type="index"> <tokenizer class="solr.StandardTokenizerFactory" /> <!-- <filter class="solr.StopFilterFactory" ignoreCase="true" --> <!-- words="stopwords_en.txt" enablePositionIncrements="false" /> --> <filter class="solr.LowerCaseFilterFactory" /> <!-- Shingle help improve the quality but they increase the size of the index --> <filter class="solr.ShingleFilterFactory" maxShingleSize="2" outputUnigrams="true"/> </analyzer> <analyzer type="query"> <tokenizer class="solr.StandardTokenizerFactory" /> <!-- <filter class="solr.StopFilterFactory" ignoreCase="true" --> <!-- words="stopwords_en.txt" enablePositionIncrements="false" /> --> <!-- <filter class="solr.SynonymFilterFactory" --> <!-- synonyms="synonyms.txt" ignoreCase="true" expand="true"/> --> <filter class="solr.LowerCaseFilterFactory" /> <filter class="solr.ShingleFilterFactory" maxShingleSize="2" outputUnigrams="false" outputUnigramIfNoNgram="true"/> </analyzer> </fieldType> </types> <fields> <!-- Physical (automated) primary key. Each topic is stored into 2 Solr entries to be able to handle the partial update of stored attributes such as estimation of the predictive accuracy and broader topic links while preserving the previous version of the statistical model --> <field name="entry_id" type="string" indexed="true" stored="true" required="true" /> <!-- Mandatory field for all entries: this is the logical primary key --> <field name="concept" type="string" indexed="true" stored="true" required="true" /> <!-- If entry_type can be model 'model' or 'metadata' --> <field name="entry_type" type="string" indexed="true" stored="true" required="true" /> <!-- Mandatory classifier model attribute when entry_type == 'model' --> <field name="classifier_features" type="text" indexed="true" stored="false" termVectors="true" termPositions="false" termOffsets="false" /> <!-- Classifier model stored attributes when entry_type == 'metadata' --> <field name="model_entry_id" type="string" indexed="true" stored="true" /> <field name="primary_topic" type="string" indexed="true" stored="true" /> <field name="broader" type="string" indexed="true" stored="true" multiValued="true" /> <field name="last_update_dt" type="tdate" indexed="true" stored="true" /> <!-- Accuracy evaluation of the model (accross CV folds) --> <field name="precision" type="tfloat" indexed="true" stored="true" multiValued="true" /> <field name="recall" type="tfloat" indexed="true" stored="true" multiValued="true" /> <field name="last_evaluation_dt" type="tdate" indexed="true" stored="true" /> <field name="positive_support" type="tint" indexed="false" stored="true" multiValued="true" /> <field name="negative_support" type="tint" indexed="false" stored="true" multiValued="true" /> <!-- Store ids of some false positive and negative examples (accumulated over several CV folds) --> <field name="false_positives" type="string" indexed="false" multiValued="true" stored="true" /> <field name="false_negatives" type="string" indexed="false" multiValued="true" stored="true" /> </fields> <uniqueKey>entry_id</uniqueKey> <defaultSearchField>classifier_features</defaultSearchField> <solrQueryParser defaultOperator="AND" /> </schema>