Cover art for podcast For Inquisitive Minds

For Inquisitive Minds

15 EpisodesProduced by Ali JiwaniWebsite

FIM or For Inquisitive Minds is a podcast interviewing top researchers, PhD students and other academics on their cutting edge research. We break down each topic so it is easy for anyone to pick up, and then build up the knowledge base so everyone can understand the respective theses and purposes of… read more

Support the Show

Supporting For Inquisitive Minds will ensure they keep making the show you love

financial supportSupport

14 Understanding customer satisfaction

Organisations which sell services or products to mass audiences struggle to understand the reasons why their customers are happy, and especially how the preferences evolve over time. The problem of understanding reasons for customer satisfaction over time stems from methodological difficulty in analysing written customer reviews as time series data. This project trials use of sentiment analysis to understand evolution of feedback over time. Sentiment models trained using Recurrent Neural Network, Naive Bayes and Maximum Entropy are compared and the best model is selected to predict feedback in the future. Difference in predictive accuracy over time is assessed for the selected model. Moreover, visuals are developed to depict how text features and themes vary in importance when it comes to accurate prediction of satisfaction over time. The objective is to enable real-time visualization and understanding of patterns in customer feedback over time from big text corpora

--- Support this podcast:
Educational emoji reaction


Interesting emoji reaction


Funny emoji reaction


Agree emoji reaction


Love emoji reaction


Wow emoji reaction


Are you the creator of this podcast?

Verify your account

and pick the featured episodes for your show.

Listen to For Inquisitive Minds


A free podcast app for iPhone and Android

  • User-created playlists and collections
  • Download episodes while on WiFi to listen without using mobile data
  • Stream podcast episodes without waiting for a download
  • Queue episodes to create a personal continuous playlist
RadioPublic on iOS and Android
Or by RSS
RSS feed

Connect with listeners

Podcasters use the RadioPublic listener relationship platform to build lasting connections with fans

Yes, let's begin connecting
Browser window

Find new listeners

  • A dedicated website for your podcast
  • Web embed players designed to convert visitors to listeners in the RadioPublic apps for iPhone and Android
Clicking mouse cursor

Understand your audience

  • Capture listener activity with affinity scores
  • Measure your promotional campaigns and integrate with Google and Facebook analytics
Graph of increasing value

Engage your fanbase

  • Deliver timely Calls To Action, including email acquistion for your mailing list
  • Share exactly the right moment in an episode via text, email, and social media
Icon of cellphone with money

Make money

  • Tip and transfer funds directly to podcastsers
  • Earn money for qualified plays in the RadioPublic apps with Paid Listens