Get actionable data from text using machine learning.
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Given someone's professional profile description, classify their affinity group.
Classify company by industry given a company description.
Retrieve categories from a custom Monkeylearn project.
Label entities in text as person, organization, and location.
Extract keywords from text in English.
Classifying tweets in English according to their sentiment.
Classify text according to a broad and generic topics.
It allows you to classify between "Good" and "Bad" sentiment of hotel reviews.
Extract relevant text from HTML.
Detect language in text. Includes a total of 48 different lan...
Classify news by topic. The category data was extracted from ...
Classify product reviews and opinions in English.
Identify profanity or abuse in comments.
You can classify between "Good" and "Bad" sentiment for restaurant review sites.
Classify product descriptions according to a dataset built on Walmart categories
Label entities in text as person, organization, location, and other.
Extract keywords from text in Spanish.
Classifying tweets in Spanish according to their sentiment.