How MonkeyLearn Works
1. Connect your text data
You can upload CSV/Excel files or connect with your apps via direct integrations, Zapier or API. Text may come in various formats such as:
Terrible Service - I ordered a Playstation 4 and FIFA 19 from your store last week. I’m furious to find out that the tracking number doesn’t work and my order might be lost. Please respond ASAP.
The service you offer is great but perhaps a bit pricey, though your support team is amazing. I’d like to see a feature to be able to export my data, and if you could add nice themes that would be fantastic.
I’m really happy with my toothpaste. I’ve been using it two times a day for week and I’ve already noticed that my teeth are a few more shades whiter. It’s expensive, but worth it.
2. Turn your text into tags
Use text analysis models to tag your text automatically. Select from premade models, or build your own custom classifiers and extractors, powered by machine learning.
Classifiers are used to classify text into defined categories.
Eg: Sentiment, Topic, Aspects, Intent, Priority, etc.
Extractors are used to extract pieces of data from text.
Eg: Keywords, Features, Names, Dates, Prices, etc.
3. Put your tags to work
Use your MonkeyLearn tags to make new information about your business, and to build new workflows in your apps.
Get insights by connecting with visualization tools like Tableau, Looker, Google Data Studio, Mode and more.
Inject tags back into your existing apps so you can analyze your data or automate workflows within your apps.
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