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Natural Language Processing Jobs

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Fixed-Price - Est. Budget: $ 300 Posted
Looking to hire an NLP data scientist/programmer to develop some app logic that will extract data from our free text database, parse, tokenize, match at lexical and topic levels and insert the derived keywords back into the SQL database. AHA requires a natural language processing script to derive common words from unstructured text fields (lexical matching), match the derive words to a standardized codified medical database (SNOMED), and send the derived lexical matched words, as defined by the codified medical database to a new table within the application’s core database. • Take data from 3 unstructured text fields and apply • Store the new NLP derived terms to 3 new tables, for up to 20 fields per table (each field representing a keyword derived from the NLP script) We have detailed specifications ready for programming to commence.
Fixed-Price - Est. Budget: $ 1,000 Posted
We need to create a basic demo for a client that consists of: 1) Load a database of movies subtitles/script in english already classified by age range and category (western, children, cartoons, love, action, etc..). Detect adult content and violence. We will give you this database. This way we can train the system. 2) From a new movie movie subtitle text (srt or txt), the script will generate an output with category, age rating, adult content and violence and their score. There is are similar projects on the web, but I haven't found exactly what I am looking for, so the solution could be to re use existing development and do some tweaks Thank you for your time.
Fixed-Price - Est. Budget: $ 5 Posted
I need someone who can follow instructions. Who is responsible. Who does not start wanting to do things in a different way then is told to them. I need someone with availablity. With significant skill in python and has done NLP work before. If you have worked with social media APIs before, that is a bonus. Ignore the budget listed on this ad, that is listed there because upwork requires a number.
Fixed-Price - Est. Budget: $ 2,000 Posted
Let's start with definition. "Harmonization is to create the possibility of combining data from more heterogeneous data sources, both internal and external, into an integrated, consistent, and interactive Data Story, in a way that is of no concern or struggle to the user. Collaborative decisions is the sharing of pertinent data and insights, in real-time, while keeping context, for fast, data-driven decisions." -- Clear Story Simpler words, Data Harmonization = Data Inferencing + Data Profiling + Data Enrichment Background --------------- We have 15 data sources (structured -columnar schema database). Each data source has some 40 fields. The data belongs to people & related professional attributes. Problem ----------- We want to create a single unified view of these 15 data sources, however, there is lot of data missing pertaining to one field in one source when we look for the same field in another source....