Launch HN: Thematic (YC S17) Customer Feedback Analysis via NLP
11–20 of 33 posts
Re: Launch HN: Thematic (YC S17) Customer Feedback Analysis via NLP
#12Are you planning to provide your service as an API to other companies that want to wrap a product around your work?
Re: Launch HN: Thematic (YC S17) Customer Feedback Analysis via NLP
#13Are you planning to provide your service as an API to other companies that want to wrap a product around your work?
Re: Launch HN: Thematic (YC S17) Customer Feedback Analysis via NLP
#14I for one really liked the demo and the blog - specifically, (a) I have great exemplars for what you mean by "theme", and (b) this post[1] shows great insights into your thinking about the problem faced by your customers
> Developed on canonical text like news article or Wikipedia, they either failed to understand the variety of expressions, or were too hard to explain.
It appears to me that the current methods and resulting tools are heavily dependent on the problem formulation (or domain in general). Moreover, no matter how fancy your technique is (or "how deep is your net"), the resulting model won't work unless you take specific steps to train it on data from the domain.
Yes, what I just said sounds borderline truism. However, I am more interested in discussing why it is so? Here's my initial thinking:
Let us look at (one of) the definition of Machine Learning, from Prof Tom Mitchell's textbook, "A computer program is said to learn from experience E with respect to some class of tasks T and performance measure P, if its performance at tasks in T, as measured by P, improves with experience E."
Here, experience E can be loosely considered as the amount of data you have for training - obviously, more data (i.e. training) should improve learning. However, the abstraction of T and P hides an important underlying problem of specification - or in other words, formulation of T (and E).
Thoughts?
> I wrote a new approach [capitalizing] on my PhD and new Deep Learning approaches.
I hope we get to see some of your insights in a paper or article (or blog post :)
[1] https://www.getthematic.com/post/visualizing-customer-feedba...
Re: Launch HN: Thematic (YC S17) Customer Feedback Analysis via NLP
#15I work on the same, just for my own company to automate customer interaction (well, at least 99% of it).
Re: Launch HN: Thematic (YC S17) Customer Feedback Analysis via NLP
#16Congrats and good luck! I work on the same, just for my own company to automate customer interaction (well, at least 99% of it).
Re: Launch HN: Thematic (YC S17) Customer Feedback Analysis via NLP
#17Congratulations and best wishes! I for one really liked the demo and the blog - specifically, (a) I have great exemplars for what you mean by "theme", and (b) this post[1] shows great insights into your thinking about the problem faced by your customers > Developed on canonical text like news article or Wikipedia, they either failed to understand the variety of expressions, or were too hard to explain. It appears to…
I like to think about ML in terms of how children learn language: through observation in their environment. The training data is a simulation of that environment.
Glad you liked the website and the blog post!
Re: Launch HN: Thematic (YC S17) Customer Feedback Analysis via NLP
#18Re: Launch HN: Thematic (YC S17) Customer Feedback Analysis via NLP
#19I might have missed it on the website, how does pricing work?
Also, do you have any integrations with other tools like Intercom or Zendesk to ease data-sharing? A monthly insights report generated directly off of my main customer support tool can replace hours of manual work.
Re: Launch HN: Thematic (YC S17) Customer Feedback Analysis via NLP
#20Great tool, this is an area I've been looking forward to more automation in. I might have missed it on the website, how does pricing work? Also, do you have any integrations with other tools like Intercom or Zendesk to ease data-sharing? A monthly insights report generated directly off of my main customer support tool can replace hours of manual work.