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    Using a defined databse - find similar values and create synonyms. Loop through single table - find 100% matches - assign unique key and load into new table Using new table - match based on levensthein and double metaphone and write to 2nd new table. Must have gui that allows user to approve matches .

    €98 (Avg Bid)
    €98 Keskimäär. tarjous
    6 tarjoukset

    Our current website (click here to see the name of the website: ) uses AngularJS, NodeJS, Mongo, and MySql as a database storage. We sell sports apparel. Our search suffers as it uses a MongoDb text search which does not account for misspellings (e.g. metaphone, soundex, or alternate terms) nor does it account for synonyms or stems. We are not using Elastic search. I do not have experience with Elasticsearch but understand it to be a popular tool for searching a product catalog. Please propose which of the following is the ideal scenario and total $$$ to convert our existing search to using Elasticsearch instead of the Mongo text search. Brief history/context: Our data is organized such that we have a) a parent product – which is the model/design

    €582 (Avg Bid)
    €582 Keskimäär. tarjous
    9 tarjoukset

    Report About the following fuzzy string matching algorithms: - Levenshtein Distance. (150Word) - Double Metaphone. (150Word) - Dice Coefficient. (150word) - Strength/Advantages of using Levenshtein Distance. (50Word). - references and Citation should be mentioned in APA style.

    €31 (Avg Bid)
    €31 Keskimäär. tarjous
    10 tarjoukset

    We have an existing MS SQL database which is populated with products retrieved from various sources (portals). The various portals usually have sl...Examples of mathematical text matching algorithms that could be used (and potentially refined and combined) to meet our requirements are: String metric Locality-sensitive hashing Needleman–Wunsch algorithm Smith–Waterman algorithm Levenshtein distance Concept Search Approximate matching with addition of regular expressions ability Regular expressions for non-fuzzy (exact) matching Metaphone Soundex Agrep Plagiarism detection Ideally the developer will already understand and have used some of these before and able to pick the best algorithm(s) for this application.

    €185 (Avg Bid)
    €185 Keskimäär. tarjous
    14 tarjoukset

    Someone familiar with C++ and Python Type of application development required: Other or Not Sure Integration requirements: Requires Integration Purpose or functionality of application: Application should allow me to enter text into the Metaphone 3 function (which I have bought in C++) and build a python dictionary. I need to be able to open files in python, extract text and run through Metaphone function, then take resulting metaphone code to build a dictionary basically dict(text, metaphone). Platform(s) desired for application: Mac OSX Graphical User Interface requirements: No Application to run over network: Not Sure Desired Skills Python, Mac OSX Administration, C++

    €424 (Avg Bid)
    €424 Keskimäär. tarjous
    4 tarjoukset
    Algorithm Work Loppunut left

    I am looking for a good brain who can help me build a good algorithm for comparison of two strings and suggest they are same/differ. Lets assume there are two human object whic...US, 12345 GEO LOCATION : 38.8833° N, 77.0167° W HUMAN OBJECT 2 - NAME : John W Ray ADDRESS : PLAZA ABC, ACROSS ST, XYZ , UNITED STATES, 12345 GEO LOCATION : 38.8833° N, 77.0167° W Now I want a logic/algorithm where I can compare and say HUMAN OBJECT 1 is either same or different as HUMAN OBJECT 2. FYI, I have tried all the online available algorithms like SOUNDEX, LEIVENSTEIN, METAPHONE etc but it has not helped us much. Currently our logic revolves around the weight based algorithm with conditional probability. I would want someone who can think rationally and help me...

    €4 / hr (Avg Bid)
    €4 / hr Keskimäär. tarjous
    8 tarjoukset

    We have an existing MS SQL database which is populated with products retrieved from various sources (portals). The various portals usually have sl...Examples of mathematical text matching algorithms that could be used (and potentially refined and combined) to meet our requirements are: String metric Locality-sensitive hashing Needleman–Wunsch algorithm Smith–Waterman algorithm Levenshtein distance Concept Search Approximate matching with addition of regular expressions ability Regular expressions for non-fuzzy (exact) matching Metaphone Soundex Agrep Plagiarism detection Ideally the developer will already understand and have used some of these before and able to pick the best algorithm(s) for this application.

    €221 (Avg Bid)
    €221 Keskimäär. tarjous
    19 tarjoukset

    We want to implement double metaphone search. While searching on net we found a post on which satisfies our requirement The project is to the complete source 2. compile and make a working DLL which will work with asp, asp.net and SQL Server 3. You can use code from "<>" 4. The DLL will need to work with 32-64 bit machines.

    €28 - €4698
    €28 - €4698
    0 tarjoukset
    Metaphone in C# Loppunut left

    I need a simple C# class written to implement the attached Metaphone soundex encoder. Basically just a string in - string out method in a class.

    €23 (Avg Bid)
    €23 Keskimäär. tarjous
    8 tarjoukset

    I have a CD that contains approximately 480,000 names and related genealogy data. I need the names and related data points extracted to a CSV. The names column is encrypted, except for when viewed in the program. I am open to all solutions. Most of the fields can be extracted conventionally. The names column may require data entry if regular extraction does not work....column may require data entry if regular extraction does not work. There are 13 files in CDX, FPT, TDX, and DBF formats. Below are examples of field names in the file. Please only bid if you have a viable solution. A copy of the program will be sent via yousendit to the winning bidder. PIN NAME NAME_PART NAME_SORT SEX REF OCCUP FATHER_PIN MOTHER_PIN PAR_MRINB FLAG INDEX_SURN NEXTEVSEQB METAPHONE BIO_NOTE...

    €326 (Avg Bid)
    €326 Keskimäär. tarjous
    50 tarjoukset

    ...table: different fields in the table could have a different weighting - be able to handle misspellings, or stem differences - be able to handle synonyms (i.e. a search for 'blue jacket' would pick up 'blue coat') - it must perform well, and be scalable Our initial thought for how this could work is that it would be based on the following: - MySQL full-text searching - PHP soundex / metaphone / levenshtein for the misspellings and stem differences - Something like Wordnet for the synonym checking To ensure performance is not compromised it may be necessary to do whatever we can not in realtime - e.g. generate soundex values and a synonym list for content items when they are created or when an indexing funciton is executed, rather than when we are ...

    PHP
    €3284 (Avg Bid)
    Mainostettu
    €3284 Keskimäär. tarjous
    33 tarjoukset

    I need a function for a php page to v...record already exists in the relevant database table. The users input must be compared to current records, checking for approximate (fuzzy) matches, and then the user is presented with a “Do you mean…” with options to choose the items which are a similar match. I envisage this being done by using both the Levenshtein_Distance and MetaPhone functions within a php framework. The attached file has links to relevant URLs for more info on both levenshtein and metaphone. It would be a bonus if the process could be done dynamically using AJAX or javascript to avoid a new page_load, but the main priority is to have an effective similarity check. Please contact me if you require any further info or would like to discuss th...

    €42 (Avg Bid)
    €42 Keskimäär. tarjous
    1 tarjoukset

    Build a pure-PHP engine to return ranked matches of names, using fuzzy phonetic and mispelling matches. It will be based on a database of ~500 names of Greek Gods. Misspellings are common because we have a database of ancient greek names. e.g., "Zefiris" for "Zephyrus" The phonetic engine should be based on the Double MetaPhone algorithm, by Lawrence Philips: And also use Levenshtein distances You might use a binary search tree, similar to: The input is an XML file: The attribute "label" is the keyword the user is searching for. The attribute "alt" is a common alternative spelling. There will be a list if stopwords (the

    €141 (Avg Bid)
    €141 Keskimäär. tarjous
    1 tarjoukset

    Dear coders, I need a ZIP archive with all the needed files to **compile PostgreSQL 8.0 under Windows**. I need **a ready to run procedure** (i.e. a batch file) that allows me to build PostgreSQL with popular add-on packages (e.g. metaphone, tsearch2, pgcrypto). Sincerely, Filippo Toso. ## Deliverables 1) Complete and fully-functional working program(s) in executable form as well as complete source code of all work done. 2) Deliverables must be in ready-to-run condition, as follows (depending on the nature of the deliverables): a) For web sites or other server-side deliverables intended to only ever exist in one place in the Buyer's environment--Deliverables must be installed by the Seller in ready-to-run condition in the Buyer's environment. b) Fo...

    €54 (Avg Bid)
    €54 Keskimäär. tarjous
    2 tarjoukset
    PHP code snippet Loppunut left

    I need someone experienced with "fuzzy" search coding. I have some experience in PHP, but I am having some problems with multidimensional arrays additionally I have little experience with metaphone and levensthein distance. I have a basic table that holds keyword_id, fuzzy_keyword (metaphone), and actual keyword. I have a string that can contain anywhere from 1 - 6 words. I need to return all the keyword_id of all the keywords that are found in the string. $keyword_string = "running places: boulder, colorado"; keywords in database (potential match yes/no): running (yes) running boulder colorado (yes) running denver colorado (no) running colorado (yes) boulder, colorado (yes) frisco colorado (no) running new mexico (no) I d...

    €63 (Avg Bid)
    €63 Keskimäär. tarjous
    3 tarjoukset

    ...the other data source. If more than 70% match, then information is verified. First source contain one record, second source contain up to three records. E.g. customer has provided his home address, system will match up to three other addresses logged from other external systems. Issues the program needs to tackle: a. Variation of spellings - requires phonetic algorithms such as Double Metaphone, Levenshtein Distance. b. Translation or associative words (same meaning or a translation from another written language) - requires a data dictionary to be built that can be further enhanced either via human manual input or auto system feedback (learning). c. Sequencing of words d. Filtering of insignificant elements such as symbols, numbers. Requires an audit trace so we...

    €240 (Avg Bid)
    €240 Keskimäär. tarjous
    3 tarjoukset