Natural Language Processing Jobs

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Fixed-Price - Intermediate ($$) - Est. Budget: $350 - Posted
I need you to develop some software for me. I would like this software to be developed for Linux using Python. Corpus Alignment (python) online with "Moses" (statistical machine translation) and updating features on decoder time (while translating) through xnlrpc
Skills: Natural language processing Python Ubuntu XML-RPC
Fixed-Price - Expert ($$$) - Est. Budget: $100 - Posted
This project is to write out a proposal and document how you would build a system to continuously learn and enrich data related to job listings. To be clear, we are looking for a detailed proposal and plan along with an estimated cost or proposed project cost. We will review the proposal of several people that we invite to this posting and then based on the proposal build out the actual project to execute on their plan. As you read through the rest of this, please feel free to message me on Upwork or on Skype. My skype address is amurphy59. Specifically, we want to understand the recommended infrastructure and software (i.e. AWS EMR with Hadoop & R) necessary to execute a project that will deliver on the following project concept. We also would like to know what the development process is that you will follow Our business is an online job search and recruiting service existing in many countries around the world. Today, we have 110,000 active jobs, and over 500,000 total jobs (including those that have expired) to analyze from the past 90 days. On most days, there are about 10,000 to 20,000 new jobs added into our system. We are in the process of adding more and more jobs everyday. We expect the system when fully built out to have about 10,000,000 active jobs. These jobs are often listed with a combination of attributes about the job in the advertised title. Attributes include the skills, compensation, the name of the company, and then the actual profession title itself. Each company that lists a job opening will often use their own category taxonomy. In an ideal world, companies would adhere to a specific taxonomy, use normalized job titles, and list out skills from a specific skills catalog, but that doesn't happen. The desired outcome of this system is to be able to create structure from these jobs listings, to enrich the data and identify the attributes about each listing at the point in time when the job comes into our system. To be able to take the learnings about past job listings and apply them to new ones. Here are some examples of the desired output for each job record: - A common profession title - Information about the skills necessary for the job - Information about the company - Information about the benefits of the company - Information about the requirements of the job itself Each of the attributes above will be used to create a better description about the job listings when presented to job seekers. Follow on projects will be set up to determine a similar set of attributes about the worker execute similar logic with respect to resumes, and ultimately to make recommendations for both companies posting jobs and users posting resumes of where there is a great match. In your response to this posting, please include the following: 1. Your proposed price. (Note, I have put a budget of $100 for this, but if you require more time and or a higher price, please include why in your response) 2. A min of two example projects using NLP / Machine Learning that you have participated in. 3. Your preferred software languages. 4. What you expect to produce in this write up in terms of work product. Again, please let me know if you have any questions about this project either through Upwork messages or on Skype: amurphy59
Skills: Natural language processing Hadoop Machine learning R
Hourly - Expert ($$$) - Est. Time: 1 to 3 months, Less than 10 hrs/week - Posted
Looking for a skilled developer who can help build a Facebook Messenger bot for my business. I want someone who knows and has worked with Natural Language Processing. Facebook or Microsoft both good, prefer Microsoft. I will supply you with all the information needed with regards to content and schematic responses to user questions. You will build the engine, set up the APIs, webhooks and make sure the bot is fully functional. We will start in the next week.
Skills: Natural language processing
Hourly - Intermediate ($$) - Est. Time: 1 to 3 months, 30+ hrs/week - Posted
SnapSolv, a cloud based smart messaging SaaS platform enabling businesses to engage customers for sales and support over multiple channels web, mobile, SMS and FB Messenger. The Platform provides web interface for customer support agents to receive and respond to customer messages received from the above channels from a single web interface. We are developing Virtual Agent and Bot Capabilities where businesses can configure them and enable them in addition to human agents. Design and Develop Bot framework Define Intent & Entity Models, Create & Configure Bot and Run Bots. Our backend system ( built on Node.js, ) receives conversations from Webchat ( Web) , FB Messenger, SMS ( TEXT) or from Mobile Apps, and the conversations will be passed to Bot. Process incoming messages and resolve to intents, find entity and actions handlers ( external API calls). Receive responses from action handlers and send the response back to the above channels. This is not one time Bot for a specific domain. Bot will be configured with the intent, entity model for a given domain ( shopping / e-commerce, travel agency, hotel booking etc) and corresponding action handlers ( typically API calls to booking system, order management or scheduling/appointment systems) . Developers should have experience with one or more AI platforms, Watson. Must be proficient in Node.js, Javascripts, REST, Express,
Skills: Natural language processing HTML5 JavaScript Machine learning
Fixed-Price - Intermediate ($$) - Est. Budget: $100 - Posted
have a bunch of (scheduled) python scrapers using selenium webdriver, that's just too slow to run and unreliable. Like to migrate that to Scrapy. At the moment, scripts output to individual excel files (with minor data cleaning), and a separate python script copy/pastes the latest of each file to one excel file (multiple sheets). This file is then normalized/recategorized before uploading into postgresql. Job is either: i) Scrapy to 1 excel file (and the next stage takes over from there) or ii) scrapy to pgsql. In the latter case, duplicates need to be removed, dates parsed, and there is a reference xls file for items recategorization. Main thing is more robust scraping, not too much overhead.
Skills: Natural language processing Machine learning PostgreSQL Programming Scrapy
Hourly - Expert ($$$) - Est. Time: 1 to 3 months, Less than 10 hrs/week - Posted
Immediately looking for an experienced Python developer for a 1-2 month project where you would be working remotely and in collaboration alongside 3 other developers and our CTO. We will only contact candidates that send a link to public work on github/bitbucket. Experience with speech recognition, natural language understanding and/or AI a big plus.
Skills: Natural language processing Artificial Intelligence json Machine learning
Fixed-Price - Intermediate ($$) - Est. Budget: $10 - Posted
Write a program to find the five character-level trigrams (strings with three characters, such as "abc" or "rey") that appear the highest number of times in the following poem (“When You Are Old” by W. B. Yeats). Please lowercase all letters. The trigrams should not contain spaces, but may include punctuations. The result should list the top five trigrams and how many times they occur, in the decreasing order of the occurrence frequency. POEM: When you are old and grey and full of sleep, And nodding by the fire, take down this book, And slowly read, and dream of the soft look Your eyes had once, and of their shadows deep; How many loved your moments of glad grace, And loved your beauty with love false or true, But one man loved the pilgrim soul in you, And loved the sorrows of your changing face; And bending down beside the glowing bars, Murmur, a little sadly, how Love fled And paced upon the mountains overhead And hid his face amid a crowd of stars.
Skills: Natural language processing Python
Fixed-Price - Intermediate ($$) - Est. Budget: $2,000 - Posted
We need a generic crawler, which can: 1) analyze the webpage structure of the input website 2) recognize the webpages where the target information may exist 3) parse and extract required contents in these pages using NLP&ML technologies 4) store scraped contents into their corresponding fields in MongoDB For example: We need some product information from online store, and we input the URL of one store. The crawler will visit different links in the website and make statistics. He found that some webpages have the similar structure, and this structure has a high repeat rate. Then the crawler will think that this kind of webpages may contain the product information, and will check the contents in it. He will parse the contents, and when he has recognized the contents which we need like Product Name, Product Type, Price, Production Description, he will extract them and store them to the corresponding fields in MongoDB. To make this crawler, the following skills are required: • Crawler skills • MongoDB skills • Machine learning • Natural Language processing We prefer to use Java as programming language. Python is acceptable. We will reveal more when contacting with you.
Skills: Natural language processing Java Machine learning MongoDB
Fixed-Price - Intermediate ($$) - Est. Budget: $1,000 - Posted
Hi, I need a sentence formatting engine which can re-word sentences. Example I saw a mouse jumping from table The mouse jumped from table and I saw it I was watching the table and the mouse jumped from it. So basically each sentence should be re'worded and should make some sense. I need people who have experience with this. Let me know what you need. I need to run this on my server using PHP. But let me know if this can be implemented in any language or technology. budget is negotiable. But let me know the price.
Skills: Natural language processing English Grammar Machine learning Perl