CoreNLP is a natural language processing toolkit developed by the Stanford NLP Group. It provides various NLP tools for tasks such as tokenization, part-of-speech tagging, named entity recognition, parsing, sentiment analysis, and coreference resolution.

About CoreNLP
CoreNLP was developed by the Stanford NLP Group and released in 2014. It was created to provide a comprehensive suite of natural language processing tools that could be easily integrated into various applications for tasks such as text analysis, information extraction, and linguistic research.
CoreNLP's strengths include its comprehensive suite of NLP tools, high accuracy, and strong academic backing. Weaknesses include slower performance compared to some modern frameworks and limited support for languages other than English. Competitors include SpaCy, NLTK, and Google's NLP APIs.
Hire CoreNLP Experts
Work with Howdy to gain access to the top 1% of LatAM Talent.
Share your Needs
Talk requirements with a Howdy Expert.
Choose Talent
We'll provide a list of the best candidates.
Recruit Risk Free
No hidden fees, no upfront costs, start working within 24 hrs.
How to hire a CoreNLP expert
A CoreNLP expert must have strong programming skills in Java, proficiency in natural language processing concepts, experience with machine learning techniques, and familiarity with XML and JSON for data interchange. Knowledge of integrating CoreNLP with other systems and handling large datasets is also essential.

Tamiris G.
Skills
Possessing extensive experience in software engineering, this candidate expertly navigates the software development lifecycle from ideation to deployment and excels in various domains, including API development, Computer Vision, Natural Language Processing (NLP), and AI/ML applications. With a pronounced focus on Data Science, expertise in Python programming, and hands-on experience in utilizing AI/ML techniques on unstructured data types such as video, audio, and text, they are poised to drive impactful data-driven solutions. Their professional journey includes leading the development of applications for data extraction, video analytics, and the implementation of efficient database systems. Committed to generating value through data insights, they demonstrate a strong capacity for collaborating across technical and business teams to deliver refined and functional software solutions.

Matheus D.
Skills
An accomplished Machine Learning Engineer with over four years of experience in technology and three years in research, holding a Master's degree in Data Science and AI supported by the prestigious Eiffel Excellence Scholarship. Demonstrates international adaptability with professional experiences in Brazil, France, and Japan, collaborating with diverse teams across more than ten countries. Proven expertise in enhancing deep learning models, implementing natural language processing solutions, and developing robust data pipelines, with a strong proficiency in utilizing tools such as PyTorch, Azure, and Docker. Actively seeking opportunities as a Machine Learning Engineer, Data Scientist, or Data Engineer, with an openness to industrial PhDs.
*Estimations are based on information from Glassdoor, salary.com and live Howdy data.
USA
$ 224K
Employer Cost
$ 127K
Employer Cost
$ 97K
Benefits + Taxes + Fees
Salary
The Best of the Best Optimized for Your Budget
Thanks to our Cost Calculator, you can estimate how much you're saving when hiring top LatAm talent with no middlemen or hidden fees.