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Based on our record, Apache OpenNLP should be more popular than Mercurial SCM. It has been mentiond 3 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Many people have asked me to write a blog post on my preference of Mercurial over Git and so far I've refused and will continue doing so for the foreseeable future. - Source: dev.to / about 1 year ago
Mercurial Paris Conference 2023 is a professional and technical conference around mercurial scm, a free, distributed source control management tool. Source: over 2 years ago
If your looking at spacy have a look at Apache OpenNLP and Core NLP. Source: over 2 years ago
If you want to deeper, you may want to check out something like spaCy (.NET) (or OpenNLP or LUIS or ... Many more ...) to do the heavy lifting of semantic normalization, and then go from there. Source: over 3 years ago
If you need NER, there’s no need to implement it yourself. There are several popular libraries that can do this for you nowadays. Five of these libraries, Stanford CoreNLP, NLTK, OpenNLP, SpaCy, and GATE, were already mentioned in the title. - Source: dev.to / over 3 years ago
Git - Git is a free and open source version control system designed to handle everything from small to very large projects with speed and efficiency. It is easy to learn and lightweight with lighting fast performance that outclasses competitors.
spaCy - spaCy is a library for advanced natural language processing in Python and Cython.
Atlassian Bitbucket Server - Atlassian Bitbucket Server is a scalable collaborative Git solution.
Amazon Comprehend - Discover insights and relationships in text
GitHub Desktop - GitHub Desktop is a seamless way to contribute to projects on GitHub and GitHub Enterprise.
Rosette - Rosette text analytics is a robust toolkit for processing language, documents, and names.