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Natural Language Processing Jobs

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Hourly - Intermediate ($$) - Est. Time: 1 to 3 months, 10-30 hrs/week - Posted
Want to work with a data scientist to develop a custom Natural Language Processing pipeline that can extract appropriate keywords from quarterly and annual reports. I would then like each keyword to be assigned a sentiment value from 1 to -1, based on the context of the sentence or part of sentence it is found in. If possible, categorize and aggregate similar keywords together. Fairly open-ended project. Would prefer to work with someone who is interested in the topic or has done previous work in this field.
Skills: Natural language processing
Hourly - Intermediate ($$) - Est. Time: 1 to 3 months, Less than 10 hrs/week - Posted
Looking for someone familiar with ShrapNLP and how to customize Models for it. This project is about aligning syntactic representations to an Ontology Question/Answer application using natural language processing and natural language generation.
Skills: Natural language processing C#
Hourly - Expert ($$$) - Est. Time: Less than 1 week, Less than 10 hrs/week - Posted
I am a journalist and would like to create an interesting infographic about "Mom blogs" in Germany/Austria. I have a list of 1,700 URLs from those mom blogs and would like to analyze them. Topics to be analyzed could be: - What CMS are they using? - What are they talking about on the front page (first 10 pages linked from the homepage) (using natural language processing for German)? - ... + other things you come up with! Your goal would be to create a spider + scraper, data extraction tool, analysis of the data and create a quick summary within in an Excel Sheet. The summary should allow a designer to create an infographic containing interesting facts.
Skills: Natural language processing Data Analytics Web scraping
Hourly - Expert ($$$) - Est. Time: 1 to 3 months, 10-30 hrs/week - Posted
We are looking for veterans in cognitive computing space who have created self learning systems which involves the use data mining, pattern recognition and natural language processing to mimic the way the human brain works. Project is based on Semantic Knowledge base & Contextual Analysis. Apply if & only if you have worked on the above.
  • Number of freelancers needed: 2
Skills: Natural language processing Analytics Big Data Data mining
Hourly - Expert ($$$) - Est. Time: Less than 1 month, 10-30 hrs/week - Posted
Our team is currently seeking talented, driven and self-starting data scientist to work on a unique and challenging project that leverages the latest in data science and big data to address specific use cases in the Financial Services industry. You, the ideal candidate, will have a passion for applying the latest in statistical analysis, machine learning, and predictive analytics to derive unprecedented level of insight from extremely large datasets. This is an opportunity in which you will be able to architect and possibly implement a big data solution from concept to completion. You will be responsible for directing and driving the design and delivery of the product, so we’re looking for someone comfortable and confident enough to do so. At this stage, we’re evaluating potential candidates for this role. We anticipate one or two follow-up discussions with a short-list of candidates where we’ll provide more details on the project specifics. From there, we’d expect you to provide your proposal, and after our review we’ll choose the best one. What you’ll do - You will do cutting-edge work in several areas including: streaming data processing, NLP, machine learning and predictive analytics to solve a business problem at which legacy solutions increasingly fail to solve. -You will have freedom and responsibility end-to-end from technology stack and feature selection to designing algorithms and implementing them at scale. -You will be able to exercise your creative analysis skills to explore disparate datasets and extract valuable insights. -Your efforts will have a direct impact on business revenue and costs. What we prefer in you - The ability to absorb the business problems and articulate a solutions strategy in clear terms. - Knowledge of a wide cross-section of algorithms and models, and deep comprehension the strengths and weaknesses of each. - Strong familiarity with Hadoop, Hive and / or MapReduce (or similar). - The ability to balance engineering requirements in a deadline-driven environment. - BS or MS in data science, computer science, statistics or mathematics is required. - Commercial experience in data science is desired.
Skills: Natural language processing Apache Hive Big Data Data Analytics
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