default-topic-model.conf.schema.xml Maven / Gradle / Ivy

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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).
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<?xml version="1.0" encoding="UTF-8" ?>
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  language governing permissions and limitations under the License. -->
<schema name="default-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" />
        <!-- The use of Shingle might help improve the quality but they increase 
          the size of the index far too much. It would be better to use a collocation 
          bloom filter to mitigate this effect: http://issues.apache.org/jira/browse/MAHOUT-415 
          <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="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>