Docubee is an intelligent contract automation platform that allows you to quickly and painlessly generate, manage, share, and sign contracts. Featuring powerful conditional logic-based workflows, generative AI technology, and an easily adaptable interface, Docubee makes it easy to automate your most complex contracts and agreements.
Gather information, generate and share documents, collect secure eSignatures, and audit progress all within one secure and easy-to-use platform. Spend less time manually processing contracts and more time focusing on the relationships that matter. Docubee streamlines contract management so you can scale your business efficiently and enhance the ROI of each contract.
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Based on our record, monkeylearn seems to be more popular. It has been mentiond 11 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.
MonkeyLearn: A platform for text analysis and machine learning, allowing users to train custom models for tasks like sentiment analysis and topic classification. Source: 6 months ago
Monkeylearn.com — Text analysis with machine learning, free 300 queries/month. - Source: dev.to / over 1 year ago
MonkeyLearn supports 11 languages for data analysis (Spanish, Portuguese, German, Russian, Italian, French, Dutch, Chinese, Japanese, Korean and Arabic). But for sentiment analysis, only Spanish seems to be available, I’m not sure about that. Source: over 1 year ago
R3: Used RedditExtractoR in R to download all-time top posts, and ran the resulting .csv through https://monkeylearn.com/. Downloaded the resulting table and deleted top result "OC" - then visualized it with ggplot to give a sense of absolute numbers. Total posts considered in this are 988, the word cloud only looks at the 98 most mentioned words/phrases. Let me know if you have got any questions/concerns! Source: almost 2 years ago
Go to monkeylearn.com and sign up for a free demo. Then cut and paste your blog text into the extractor/classifier. Source: about 2 years ago
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