The core algorithm behind PicPurify is built based on the most advanced deep learning technology. This algorithm is inspired by the human visual system, and is continuously learning how to identify specific contents in an image by scanning millions of them.
Picpurify use the most advanced deep-learning algorithms to deliver an unprecedented accuracy on the moderation of harmful content. That make us expert in computer vision problematics. Our company has trained and then fine-tuned several convolutional neural networks to perform various tasks of classification and detection over images in the context of filtering specific contents for companies.
We fully managed all the steps related to the creation of a deep learning model, starting from the data collection/annotation to the training and optimization of the algorithms. It allow us to provide tailor-made models to companies.
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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: almost 2 years ago
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