Using Sentiment Analysis To Fill In The Gaps From User Surveys

data Accepted Case Study 30 Mins Intermediate machine-learning sentiment-analysis nlp
Gareth Jones
Gareth Jones
Consultant
Shine Solutions
location_city Sydney schedule May 14th 02:05 - 02:35 PM place Wesley Theatre people 211 Interested

We put a year's worth of online help chat logs from a major Australian Superannuation website through Google's Natural Language API, to see what insights we could gain from the users. This talk will discuss how the Natural Language API works, and the underlying machine learning concepts, and also give you some ideas on how to make use of the information based on examples from our work. We'll compare the sentiment values with those expressed in exit surveys and find out how useful an indicator it can be.

 
1 comment visibility_off  Remove from Watchlist visibility  Add to Watchlist
 

Outline/Structure of the Case Study

I'll start by describing the business problem we were solving, how we set up the analysis, how the natural language API works and finally share some of the insights we gained.

Learning Outcome

Participants will leave knowing more about sentiment analysis, and how to apply it to their data.

Target Audience

Developers that want to know how sentiment analysis works, data analysts that want to squeeze more information from chat logs.

Prerequisites for Attendees

No prior knowledge expected or required.

Slides


View Slides image

Video


Watch Video ondemand_video

Links

I spoke at YOW! Data last year on Image Recognition: https://www.youtube.com/watch?v=QlsEurv4xa8

I've also spoken at YOW! Connected, and Melbourne's Google DevFest.

schedule Submitted 3 years ago

Public Feedback

    Call for Proposals CLOSED
    Ended on Mar 24 '18 12:00 AM AEDT
    Speaker Compensation
    flightTravel covered* info_outline
    hotelAccommodation covered info_outline
    confirmation_numberFree conference pass info_outline
    Please refer to our Speaker Compensation Policy
    Active Members
    help