ToolJet might be a bit more popular than monkeylearn. We know about 13 links to it since March 2021 and only 11 links to monkeylearn. 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.
You can also download its JSON file and import it into a ToolJet app, but you'll need to provide your Sendinblue credentials and OpenAI API key. - Source: dev.to / about 1 year ago
You can quickly try out this feature on ToolJet Cloud (https://tooljet.com) or on your local machine (https://docs.tooljet.com/docs/setup/try-tooljet). Source: over 1 year ago
ToolJet (https://github.com/ToolJet/ToolJet): A free and open-source low-code platform that allows you to quickly build applications. Sign up here. - Source: dev.to / about 2 years ago
This tutorial will guide you to build a CRUD app that will let you create new coupons, edit or delete existing coupons. We will be using ToolJet to build this application and will use Google Sheets as the data source. - Source: dev.to / about 2 years ago
Checkout https://retool.com/ or https://tooljet.com/. Built for exactly this purpose. Source: over 2 years ago
MonkeyLearn: A platform for text analysis and machine learning, allowing users to train custom models for tasks like sentiment analysis and topic classification. Source: 7 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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