Ease of Use
MonkeyLearn provides an intuitive and user-friendly interface that allows even non-technical users to create, train, and deploy machine learning models with ease.
No Coding Required
Users can build and train models without the need for programming skills, which makes it accessible for individuals and teams without a technical background.
Pre-Built Models
MonkeyLearn offers a variety of pre-trained models for tasks like sentiment analysis, keyword extraction, and topic classification, which can save time and effort.
Integration Capabilities
The platform provides numerous integration options with popular tools and platforms like Zapier, Google Sheets, and Zendesk, enabling seamless workflow automation.
Scalability
MonkeyLearn can scale with your needs, allowing businesses of various sizes to handle different volumes of data efficiently.
Real-Time Analysis
The platform supports real-time text analysis, which can be particularly beneficial for applications requiring immediate insights.
MonkeyLearn: A platform for text analysis and machine learning, allowing users to train custom models for tasks like sentiment analysis and topic classification.
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10 months ago
Monkeylearn.com — Text analysis with machine learning, free 300 queries/month.
– Source: dev.to
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almost 2 years 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.
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almost 2 years 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!
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about 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.
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over 2 years ago
OOTB tools: There are some tools that basically do what I outlined above automatically. These are worth investing in. Here is one example: https://monkeylearn.com/.
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over 2 years ago
Https://monkeylearn.com might work. The buzzword for what you’re looking for is Natural Language Processing (NLP) classification.
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over 2 years ago
I’m ok, but the guy I built this with is much better. Hmm, that sounds like Text Analysis, you might even be able to leverage some existing platform or API’s (e.g. https://monkeylearn.com/ or https://aylien.com/ or https://www.ibm.com/watson). Afraid I haven’t done this myself though.
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over 2 years ago
Visit monkeylearn.com (machine language text analysis). Sign up for a trial. Go to “Pre Made Models” and select “Keyword Extractor.” Copy and paste your text into the box and run the analysis.
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almost 3 years ago
We use a variety of paid tools. Here’s one- monkeylearn.com. there are others that are better than those listed here.
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about 3 years ago
Monkeylearn.com — Text analysis with machine learning, free 300 queries/month.
– Source: dev.to
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about 3 years ago