Deep Talk is a no-code deep learning platform to analyze text and conversational data
🔥🔥 What will you find in Deep Talk?
Tools to analyze general text and conversational data
With a few clicks you will know what your customers are talking about
Topic detection for conversations
Topic trends and evolution
Group different topics to follow them (Sales, Complaints, Leads, etc)
Wordcloud for every topic
🦾💪 Who uses Deep Talk?
Customer success teams who want to detect what kind of issues people are experimenting with, new features requested, the most frequent topics people are talking about.
Customer experience teams who want to detect complaints, and why the people are unsatisfied.
Sales teams who want to detect sales opportunities in conversations, mails, chats
Support teams who want to detect the most frequent issues or problems the people are having
AI/Analytics teams who don't want to spend months building and deploying NLP/DL models to process their data or building chatbots from zero
Deep-Talk.ai's answer:
Turn text into analytics with a no-code platform. Transform customer and employee feedback from any source into actionable data.
Based on our record, EasyMorph seems to be more popular. It has been mentiond 7 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Your task could be trivially done with EasyMorph (https://easymorph.com). We've designed it exactly for such use cases. Data needs of non-technical people have long been neglected. It was believed that any data wrangling should be done by IT people. So all non-technical people had was Excel. Luckily, the no-code movement finally started addressing that issue with a varying degree of success. - Source: Hacker News / over 1 year ago
EasyMorph | F# Developer | Full-time, Remote | https://easymorph.com EasyMorph is a powerful data wrangling and ETL application that makes life easier for thousands of knowledge workers around the world. Your job would be to keep developing our high-performance best-in-class columnar data transformation engine that lies at the heart of the application. It's a challenging task that requires an experienced F#... - Source: Hacker News / almost 2 years ago
>PRQL is intended to be a modern, simple, declarative language for transforming data It's not declarative. It's functional. I believe that the approach that is followed by PRQL is more practical than SQL. We've implemented a similar approach in our visual ETL tool for non-technical people (https://easymorph.com) and it works wonderfully. Other cool things you can do with this approach (and can't with SQL): *... - Source: Hacker News / over 2 years ago
I started a company that built, I believe, the most advanced no-code data automation desktop application (https://easymorph.com). It's entirely bootstrapped, profitable and pays salaries to 10+ people (and we keep hiring). Many our customers specifically looked for an on-prem solution as they don't want to deal with SaaS and its privacy issues and use-based pricing. With an on-prem tool like ours they get... - Source: Hacker News / over 2 years ago
May I suggest your non-tech users to try EasyMorph[1] (I'm the founder)? It's easier than PowerQuery (it's completely no-code) and at the same time more powerful. 80% of PowerQuery capabilities require coding. Our tool is 100% visual (and has a free edition). [1] https://easymorph.com. - Source: Hacker News / over 2 years ago
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