Deep Talk is a no-code deep learning platform to analyze text and conversational data
π₯π₯ 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
π¦Ύπͺ 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, Listen Notes seems to be more popular. It has been mentiond 12 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.
So for that, I go to listennotes.com. There, I can search for the exact phrase "San Diego Open," sort by when it was updated, and away I go. Source: 10 months ago
I discover podcasts by using an episode search, for very specific topics I like. A lot of podcast players don't have good search features--use listennotes.com or some other search engine, if needed. Source: about 1 year ago
You can search on listennotes.com to see which other pods covered it. Source: about 1 year ago
You know what he means. If I go to listennotes.com and search GTG for bret|weinstein (which won't find everything but to get a lower-bound) there is 9 episodes where he shows up in the notes. That's about 20 hours of podcasting about Bret and "Bret-adjacent" stuff. Source: over 1 year ago
I can recommend this website for podcast searches: listennotes.com. Source: almost 2 years ago
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