Find sales opportunities, complaints, feature requests, emergencies, etc. on your text data using deep learning models as a service on our no-code AI platform.

It’s okay and I don’t say any bad part of it

Hey Folks!! I'm Juan, Co-Founder of Deep Talk. We are so excited! We have been working for more than a year before launching today 🥹. We dream that anyone can use Artificial Intelligence without programming, without having to study years 👩‍🎓👨‍🎓 to run complex deep learning libraries to detect sales opportunities in social networks, or tag conversations automatically. We want to democratize access to Artificial Intelligence with our No-Code AI/NLP platform. Text data (chats, emails, social networks, reviews, surveys, etc.) is more than 80% of the data inside a company but is hard to use. Deep Talk turn text data into powerful data.🚀 Deep Talk allows anyone to find sales opportunities, complaints, emergencies, fraud, feature requests, etc. in any text source. Some of our functionalities: - Deepers: Our deepers let you find anything in your text data. You give us examples of what you want to find, and Deepers look for similar phrases inside your text data: Example: Find deals with phrases similar to "I want to buy a car insurance", "I need an insurance for my Ford truck", etc. 🎯 - Topic Detection: Analyze all your data and browse what's inside. What are the relevant topics, customer's relevant topics, etc. 📊 - Sentiment Analysis: Sentiment of every topic and customer 😃😐😡 - Other great features! 🔥 Please check our links to know more about us! - Webpage: https://Deep-Talk.ai - Twitter: https://twitter.com/DeepTalkAI - Linkedin: https://www.linkedin.com/company...

Looks like an interesting tool. Big fan of seeing new uses for AI

@alxberman Thank you!!!

Hi Juan! Congrats on the launch of Deep Talk. I am curious to know what made you decide to start building this tool?

@sneha_saigal Hello Sneha, companies have huge amounts of text data (emails, social networks, reviews, chats, WhatsApp, surveys) they have to analyze just by taking samples because is not possible to do it with humans (except you hire hundreds to read everything). So we classify, cluster, and get metrics from that data. Also, you can train custom models to trigger actions. For example, every time a user on Twitter asks for a recommendation on a product, insurance, service, etc. , get that lead to the sales team. Today only big companies with expensive data sciences teams can build deep learning models to use most of the text data. There is many use cases for small and medium companies.

Deep Talk

Turn text into powerful data!!

Do you use Deep Talk?

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