Regular Expressions jobs

Filter

My recent searches
Filter by:
Budget
to
to
to
Skills
Languages
    Job State
    16 jobs found, pricing in USD

    Resume Parsing, known as CV Parsing, Resume Extraction or CV Extraction, is the conversion of a free-form CV/resume document into structured information in JSON or XML format — suitable for storage, reporting and manipulation. Input:This parser will be used to parse thousands of UNSTRUCTURED resumes in html, word (doc, docx), rtf, text, rtf and pdf formats. Resumes will be in English language to start with but the parser should be capable of parsing resumes in other languages. Output: JSON or XML format files of the resume when all the words from resume are parsed and structured correctly. Parser should also output the report and metric on what worked and what did not. This report should help in further tuning the parser. Accuracy: We areexpecting a high degree of accuracy. Ideally the parser should be able to reach maintain 95% accuracy. We are expecting minimum of 90% accuracy for each resume. Method: We are not looking at keyword based parser. We are looking for a parser that can be trained and improve its accuracy over a period. Also, the fields parsed should be configurable and we should be able to extend the parser in a fashion that we can add more fields to be parsed with little effort. Parser should be able to do Fuzzy look up Resume Parser should be written such that in can eventually be invoked using a web based application. In order to identify information from CVs and profiles, the extraction engine should learn to create “rules” within its machine-learning algorithms by analysing the data. Fields that need to be parsed – Not all the resumes will have all the fields – Also the parsing should not limit to just these fields. 1. First Name 2. Middle Name 3. Last Name 4. Email Address 5. Mobile Number 6. Date of Birth 7. Picture/Image 8. Social media profile links 9. Gender 10. Nationality 11. Address 12. City 13. State 14. Country 15. Zip Code 16. Summary/Objective 17. Achievements 18. Current Location 19. Skills(top to bottom) 20. Current Company Name 21. Current Company Designation 22. Current Company Start Date 23. Current Company End Date 24. Current Company Roles & Responsibilities 25. Previous Company Name 26. Previous Company Designation 27. Previous Company Start Date 28. Previous Company End Date 29. Previous Company Roles & Responsibilities 30. Education 31. Year of passing 32. Board/university 33. Certification 34. Marital Status 35. Language Known 36. Interest/Hobbies 37. References 38. Soft Skills 39. Training courses Output of the parser should be an xml or JSON tagged file, one xml file for each parsed resume, output file name to be the same as the input file name with extension. All the parsed fields will be used to upload into a MySQL database. Parser is also required to do the database insertion as part of the parsing process. We will supply a sample set of resumes, as many as you need to be successful.

    $1176 (Avg Bid)
    $1176 Avg Bid
    14 bids

    Make an current small c# app running faster with test data, using Lambada, Linq, and regex for data handling, and adding tasks and threading for maximum performance. my main concern is to get the app to work thru the current test data as quick as possible, with the current logic. the logic can be altered if necessary to accomplish the goal, as long as the end result for the functions stay the same. I Suggest using Lambada and Linq expressions to work thru search and comparison lists as quick as possible, aswell as regex expressions...and adding suitable task and threading to improve performance. Test data on request.

    $161 (Avg Bid)
    $161 Avg Bid
    18 bids

    Basically I need you to add the collection and organization of the data I need. The script to scan the site I already have, but I have only the raw data. Attached follows my code that should be added to the regular expression (or another method that is more efficient since CPU time is important here). Also attached is a document detailing the site being scanned and where the data is arranged and also an example file of how the output should be organized.

    $100 (Avg Bid)
    $100 Avg Bid
    1 bids

    Basically I need you to add the collection and organization of the data I need. The script to scan the site I already have, but I have only the raw data. Attached follows my code that should be added to the regular expression (or another method that is more efficient since CPU time is important here). Also attached is a document detailing the site being scanned and where the data is arranged and also an example file of how the output should be organized.

    $100 (Avg Bid)
    $100 Avg Bid
    1 bids

    Basically I need you to add the collection and organization of the data I need. The script to scan the site I already have, but I have only the raw data. Attached follows my code that should be added to the regular expression (or another method that is more efficient since CPU time is important here). Also attached is a document detailing the site being scanned and where the data is arranged and also an example file of how the output should be organized.

    $183 (Avg Bid)
    $183 Avg Bid
    2 bids

    I stress that this project involves as much RESEARCH as code-writing. The different formatting used internationally is vital to get right first; the coding that follows is easy. This project is to write a script containing a series of regex scans that will extract metadata from plain documents. The purpose is to scan a big-data archive of document and retrieve specific meta data such as dates and company name. Script execution speed is essential. Ideally the script is written in Perl, but python or php is okay. This must work with international meta data! Please do not expect your entry to win without this prerequisite. The plain text source will be in UTF8 to cope with international characters. The script can return in any practical format, as long as the format can be imported:- E.g. Json, Serialized array The document describes script sections - which means create one include file that can be included in a different project, and demonstrate how to call the functions. So there would be at least 4 main functions. To make good use of your time, I'd suggest you first research the international dates and international company types, and send me privately a document. Obviously don't include what is already in Wiki. I can then give you feedback on whether that is comprehensive. Once you have that feedback it becomes worthwhile to code. Good luck!

    $600 (Avg Bid)
    Featured Guaranteed
    $600 Avg Bid
    21 entries
    regular expressions Ended
    VERIFIED

    have to wirte regular expressions for date and misspellings

    $23 (Avg Bid)
    $23 Avg Bid
    1 bids

    need to work on misspelling and date formats

    $543 (Avg Bid)
    $543 Avg Bid
    6 bids

    I need help writing about 10 REGEX expressions to search/parse file log lines in some log files outputted by applications.

    $37 (Avg Bid)
    $37 Avg Bid
    7 bids

    Abbiamo bisogno di una voce maschile e di una voce femminile per registrare mp3 relativi a corsi FAD. Noi inviamo i testi scritti da 900 battute e lo speaker deve restituire i file audio di circa 1 minuto ciascuno. Sono circa 120 file a corso (compenso euro 5 a file). I corsi iniziali sono 20 (10 con voce maschile e 10 con voce femminile). Ma aumenteranno col tempo, si tratta di scuola FAD.

    $36 / hr (Avg Bid)
    $36 / hr Avg Bid
    7 bids

    a sweatshirt (colors) pastel pink and pastel blue and i want it to say soelbell on the sides and on the back i want it to say soelbell for life

    $10 - $30
    $10 - $30
    0 bids

    Flying Eagle with diamond shapes

    $20 (Avg Bid)
    $20 Avg Bid
    5 bids

    If you are professional in computer science please let me know. This is more about regular languages

    $32 (Avg Bid)
    $32 Avg Bid
    12 bids

    Preciso de um profissional que faça um Regular Expression Builder Visual, mas que no final das contas, ele gere uma string de expressão regular para armazenar no banco de Dados. Algo estilo: [url removed, login to view] O exemplo acima seria o inicio, mas eu iria precisar de mais regras disponíveis...

    $1134 (Avg Bid)
    $1134 Avg Bid
    9 bids

    ** You could possible do this in regular LinkedIn, but I think you'll run into some issues. Will most likely require LinkedIn Sales Navigator. *** Will require programming most likely. I'd imagine you could do this as data entry but it would take you forever. I'm looking to extract the search data results from a LinkedIn search: - First and last name - Title - Company - Years at company - Area - Identify if they are a Open link user (shows an icon right by the name if they are) - Link to the the profile Currently there are 69,000+ users that match the criteria I want. I'm looking to get all of it. Criteria- CURRENT Title: (i'll give you this) Geography: (I'll give you this) You are only able to display 1000 records or so at a time. So you'll need to get creative to get all 69,000. There's a program that already does this but it's to expensive at $99.

    $53 (Avg Bid)
    $53 Avg Bid
    12 bids

    I need the excellent Python developer for my project. Details will be shared with winning bidder only Please bid if you have the excellent knowledge.

    $191 - $573
    Sealed
    $191 - $573
    41 bids

    Top Regular Expressions Community Articles