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https://issues.apache.org/jira/browse/SOLR-9186?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15319613#comment-15319613
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Cao Manh Dat commented on SOLR-9186:
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It would be interesting idea. I just have some questions:
- Do we classify based on one or many fields?
- To represent doc -> vector, should we use tf-idf or just tf? So the field
must have termvector stored?
> Logistic regression modeling for text
> -------------------------------------
>
> Key: SOLR-9186
> URL: https://issues.apache.org/jira/browse/SOLR-9186
> Project: Solr
> Issue Type: New Feature
> Reporter: Joel Bernstein
> Assignee: Joel Bernstein
>
> SOLR-8492 optimizes a logistic regression model for numeric fields. While
> this is interesting, I think it would be more interesting to build logistic
> regression models on text within an inverted index.
> This ticket will use the same *parallel iterative framework* as SOLR-8492,
> but different data access patterns on the shards, to optimize a logistic
> regression model on text.
> This will support use cases such as building models for spam detection,
> sentiment analysis and threat detection.
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