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, Winds seems to be more popular. It has been mentiond 3 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.
Another great solution that looks really nice (although harder to setup) is Winds https://getstream.io/winds/. Source: over 1 year ago
Winds by stream(https://getstream.io/winds/) is now shut down but I did enjoy using it to manage all my RSS feeds. Good thing it's open source been considering self hosting. - Source: Hacker News / over 1 year ago
So, I was looking for cool and open source/free RSS readers and found Winds, but I noticed that the GitHub repo said "This repository is no longer maintained; No further Issues or Pull Requests will be considered or approved" and now is completely archived. Source: over 2 years ago
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