Hello everybody 👋 We're excited to share our **classification feature**; we've been working on it for a while now and iterating on it based on feedback from our customers. These are the highlights: 🤖**Active learning** it minimizes the effort while tagging and training models. ❤️**Pre-trained sentiment analysis** best sentiment analysis model in the market, using cutting edge deep learning. 🚀**More robust backend** we've been working with well-known companies ranging from top social apps, developer platforms and electric scooter rental services. That means we had to build an extremely reliable service that can tackle high volume transactions in real time. 🔌**Improved integrations** new versions of our integrations with Zapier, Zendesk and Google Sheets. 👨‍💻**Redesigned API and SDKs** deeper integration for developers. I wanted to share some of the **top 3 most frequent use cases** we've seen so far. We're amazed by how business teams are leveraging our AI technology in their operations without the need of technical skills! ⏰**Customer support automation** take the subject and body of a new ticket and turn into a set of tags (topic, urgency, intent, etc). Customers are using those tags alongside rules to automatically route tickets to the right team in real time, allowing them **50% reduction on first response times**. 💎**Customer feedback analysis** turn thousands of pieces of qualitative feedback (surveys, reviews, NPS comments, support tickets, emails and chats) into pre-defined buckets (categories) such as topics, features, intent (feature request, opinion, issues, etc) and sentiment (positive, negative, neutral). Qualitative feedback usually gets buried in CRMs, survey, support and chat tools. Our customers are turning data into value! 💰**Sales automation** categorize inbound messages (email, chat, sms) as "interested", "not interested", "support", "sales" "qualified" "not qualified", "high priority", etc. By automatically classifying messages, the sales teams can prioritize leads in a more effective way, boosting sales productivity. 👉We'd love to get your feedback, sign up for FREE and give it a try!

I've tried MonkeyLearn on a few projects and it's fantastic. So excited to see this new feature come out, it's something Ive been looking for for a while!

Huge fan of MonkeyLearn - excited to try this new feature

Very cool product and great implementation.

This looks like a point-and-click version of the excellent open source https://spacy.io/ python NLP library. I'm pretty sure their entity extraction demo was the first place to use labels to highlight entities https://spacy.io/usage/visualize.... This looks like a great way for non-technical people to get started though - your explainer vid does a great job and it looks super easy to use, well done!

Interesting way of using language to increase organization and speed.

👋 Hey PH! We're thrilled to share how easy it is to train a classifier with AI to automatically turn user-generated content (e.g. surveys, reviews, tickets) into tags, including sentiment, topic, intent and more! You can sign up for free, I'd love for you to give it a try and start training your first classifier! Please feel free to send any questions my way, I'm happy to help!

Is integration with Intercom supported?

Great product, haven't found any other solution which is as easy to use even for absolute machine learning laymen

Great feature ! Very excited to test !

Looks really cool! I have a couple of projects that I've been wanting to dig into for my company, and this looks like a great tool for that...

Nice! Can't wait to try it in Spanish

Great feature ! Thrilled to test

Looks cool - I’m keen to give this a try. First though, what’s the pricing? Your pricing page doesn’t have any prices on it 🤷‍♂️

I'm really looking forward to test out this feature. I've been looking a very long time for a way to be able to classify text. In our case, classifying ecommerce queries from a niche market (spare parts)

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