com.textkernel.tx.models.api.parsing.BasicParseOptions Maven / Gradle / Ivy
Show all versions of tx-java Show documentation
// Copyright © 2023 Textkernel BV. All rights reserved.
// This file is provided for use by, or on behalf of, Textkernel licensees
// within the terms of their license of Textkernel products or Textkernel customers
// within the Terms of Service pertaining to the Textkernel SaaS products.
package com.textkernel.tx.models.api.parsing;
import java.util.List;
/** Basic parse options */
public class BasicParseOptions {
//********************************
//IF YOU ADD ANY PARAMS HERE BE SURE TO ADD THEM IN THE DEEP COPY INSIDE ParseRequest.ctor() !!
//********************************
/**
* The configuration settings to use during parsing. See https://developer.textkernel.com/tx-platform/v10/resume-parser/overview/configuration/#config.
* NOTE: leaving this null/empty will use the default parsing settings which is recommended in most cases.
*/
public String Configuration;
/**
* If you want to use custom skills lists during parsing, set those here. This not a recommended
* feature for most customers. For more information, reach out to [email protected]
* @deprecated use {@link #SkillsSettings} instead
*/
@Deprecated
public List SkillsData;
/**
* If you want to use custom normalizations during parsing, set those here. This not a recommended
* feature for most customers. For more information, reach out to [email protected]
* @deprecated use {@link #SkillsSettings} and {@link #ProfessionsSettings} instead
*/
@Deprecated
public String NormalizerData;
/**
* Enable skills normalization and enhanced candidate summarization, and specify the version of the skills taxonomy for this parsing transaction.
*/
public SkillsSettings SkillsSettings;
/**
* Enable normalization of job titles using our proprietary taxonomy and international standards.
*/
public ProfessionsSettings ProfessionsSettings;
//********************************
//IF YOU ADD ANY PARAMS HERE BE SURE TO ADD THEM IN THE DEEP COPY INSIDE ParseRequest.ctor() !!
//********************************
}