Natural Language Processing Jobs

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Fixed-Price - Intermediate ($$) - Est. Budget: $300 - Posted
I'm looking for a strong Python developer, with strong experience in NLP: n-gram analysis, tf-idf, etc. The tool I need must be able to take in an input URL (a root domain) and Classify it into the most accurate/nearest DMOZ Category. The DMOZ Category chosen can be "rounded off" to only 3 levels deep, we don't need to go deeper in DMOZ than that. No web UI interface is required for this, the script will be plugging into a larger Python application. Highly preferable that you can start soon and complete relatively quickly. Possible/probably ongoing work after this if things go well. The stated Budget for this Job is just because Upwork forces a number. Please give an itemized quote for what you believe the job requires.
Skills: Natural language processing Python
Fixed-Price - Intermediate ($$) - Est. Budget: $100 - Posted
what has been I did: I removed stop words from one topic and then generate synonyms of all the remaining usefull words but the problem is that there are many sentences that gives same meaning but this system calculate 0% matched result. I used wordnet mysql to genereate synonyms from what is needed now: I need someone expert in NLP to do this project in at most one week time and with a proper suitable solution to semantically match any two topics with eachother. the topics will be general and the user will gave both the topics the project will be developed using php
Skills: Natural language processing Machine learning
Fixed-Price - Intermediate ($$) - Est. Budget: $200 - Posted
Monte Carlo Simulation of Probabilistic Parsing. In whichever language/package. - Implement a simple Probabilistic Parsing algorithm (Cocke–Younger–Kasami) - Conduct Monte Carlo Simulation experiments for both acoustic and parsed recognition errors. - Results explanations. For all proposals: please include the code [NLP] in the beginning.
Skills: Natural language processing Algorithms Data Modeling Linguistics
Fixed-Price - Expert ($$$) - Est. Budget: $200 - Posted
Looking for a data scientists experienced in email, facebook, instagram API. 1) Data mining from Email, Facebook, Instagram 2) From the data, do user profiling and sentiment analysis and come up with some guessed preferences 3) Based on the guessed preferences, go crawl the web for user-generated-content (non commercial source) 4) Recommend it back to the user for his selection 5) As user selects, we do ongoing machine learning about users’ preferences 6) Followed by predictive modelling to predict users’ future preferences Please create sample data to be worked on, and develop the system that can do the above.
Skills: Natural language processing Data mining Machine learning Predictive Analytics
Fixed-Price - Intermediate ($$) - Est. Budget: $2,500 - Posted
1. MUST have solid work experience in the following database type: MongoDB, Neoj4, MySQL, Riak, as well as Riak CS private cloud. 2. MUST be proficient in the following search languages: SQL, SPARQL, RESTful, API, Curl. 3. Candidates should have some understanding of Distributed Storage Theory: CAP, BASE, and etc. 4. Mastery in programming language such as Java, JavaScript, Python is preferred. 4. Candidates with experience in Machine Learning, Natural Language Processing will receive priority. 6. Candidates who are familiar with Web Crawlers, MVC framework, and experience in developing enterprise level application service will receive priority. 7.English-speaking work environment
Skills: Natural language processing API Development CURL Java
Fixed-Price - Intermediate ($$) - Est. Budget: $500 - Posted
We're building a chatbot to help people learn english. It runs on chat platforms like Facebook messenger, wechat, telegram. Currently we have live teachers chatting with students. I want to automate the process of matching user comments to suitable replies. We have a "training set" of previous conversations. We want to use this to try and automate the conversations with the teachers. The first layer could perhaps just "suggest" replies, next layer would be to send the reply right away if we have a high enough confidence level. I understand we could do this with a classifier, or a simple neural network. I'm looking for advice on designing a system that would enable this, and for someone to implement a first working build. If suitable, we could use the "NLP as a service" cloud products out there, or else an open source library running internally. Our web app is built in javascript. Since this seems like a fairly basic NLP application we could perhaps even use some of the JS ML APIs, even though it's not the most popular language for these. Or this feature could just be a separate web service that is standalone that provides a service API to our main application. Please write back with info on similar projects you've built, a general outline on what tech you would use to solve the problem, and any questions you would need me to answer to be able to estimate a time and cost for developing this feature. I would like to develop an initial take on a fixed budget, but then with the right person this would be on-going work to improve the features and conversational aspect of the system over time.
Skills: Natural language processing Artificial Neural Networks Machine learning