Coldfusion resume parser

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Resume parsing , also known as CV parsing , resume extraction , or CV extraction , allows for the automated storage and analysis of resume data. The resume is imported into parsing software and the information is extracted so that it can be sorted and searched. Resume parsers analyze a resume, extract the desired information, and insert the information into a database with a unique entry for each candidate. Many parsers support semantic search , which adds context to the search terms and tries to understand intent in order to make the results more reliable and comprehensive. Machine learning is extremely important for resume parsing. Each block of information needs to be given a label and sorted into the correct category, whether that's education, work history, or contact information.
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ColdFusion Sample - Upload and Parse an Excel File

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ColdFusion Help | ParseDateTime

Net Web services. Works effectively in independent and in cross-functional team environments. Flexible and ability to balance multiple projects at one time in a fast-paced environment. Ability to learn and incorporate new technologies.
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ParseDateTime

Join Stack Overflow to learn, share knowledge, and build your career. Connect and share knowledge within a single location that is structured and easy to search. Any help is much appreciated. The error comes from cfData. Doing anything with cfData will cause some kind of errors.
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Worked with supply chain applications team in support of Confidential 's Manufacturing Systems. Support included ongoing, day-to-day support, period end close processing, as well as enhancements as defined by business partners. Confidential is one of the world's leading manufacturers of tissue, pulp, paper, packaging, building products and related chemicals. It has approximately 50, employers across the world and maintaining the personal information is challenging and myGP project will provided intranet services on customer support, employer training skills, cost of the projects running across the globe, different levels of incentives and Time scheduling of projects along with employee time. It improves management of work items through additional tracking, reporting and history features.
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