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Text Classification by MonkeyLearn — Simple and customizable text classification with AI
Text classification can automatically turn user generated content into structured tags or categories, including sentiment, topic, intent and more.
MonkeyLearn provides a simple GUI to allow non-technical users to create and use custom classifiers in minutes!
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@jamesdevonport that's awesome! I'd love to know more about your projects, can you tell me more?
@rgarreta I used MonkeyLearn previously to analyse event attendees and to classify them by type which was super handy!
Currently working on a content automation product (gofelix.ai) but am using Google Cloud's NLP categorisation purely because of the cost for that one.
Will definitely check this out soon as I can though - loved how easy your API was to integrate compared to Google.
@jamesdevonport interesting, ping me at my email, happy to bump up your free account limits if you want to try it out!
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...
@rgarreta we have a Slack app called Icebreakers (https://www.careerlark.com/icebr...) that helps teams to get to know each other with fun Q&A. one project on this is to classify answers, which are free-form text, and to give the summary back to the company. will let you know how it goes!
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 🤷♂️
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!
@zigex7 good question, we're planning to launch an integration with Intercom for Q1. In the mean time you can connect through Zapier. What would be your use case?
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!
Hey @alxcnwy I appreciate your comment! We love Spacy and Python, we have them as part of our stack. You should also try our custom extractors too! You're exactly right, we want to make NLP accessible for non-technical people 🎉
@gabriella_alziari 🙌language is everywhere within business operations! Even small improvements in efficiency and speed can have big impact.
Great product, haven't found any other solution which is as easy to use even for absolute machine learning laymen
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)
Thanks @pierrelepoulain! Shoot me an email when you try it, I'd love to get your feedback!
👋 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!
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