Silent Disco: Foundations of Sentiment Analysis

Book Now
BOOK NOW
a sepia photograph of people working at desks in a large hall with overhead lamps. A large green ampersand featuring an illustration of Ada Lovelace is placed on the left. The logo of the Centre for Data, Culture & Society (DCS) appears in the top right corner.

 

Online 

Sentiment analysis is the process of determining whether a piece of writing is positive, negative or neutral. Its use has become relatively widespread, including being used to analyse customer feedback, social media, user surveys, and more. 

We will use the University’s Noteable web service, and you will be able to choose if following the tutorial in R or Python

This workshop will cover:    

  • How sentiment analysis works 
  • Pros and Cons 
  • Sentiment analysis of text 
  • Analysing user feedback 
  • Analysing Twitter/X 

The workshop will take place via Microsoft Teams in a ‘Silent Disco’ format. Participants will work on the tutorial at their own pace. The facilitator will be available via Teams Chat to reply to any questions that arise during the workshop, and to help with installation, troubleshooting or other issues.   

 

This course will be taught by Somya Iqbal and Aybuke Atalay. 

 

After taking part in this event, you may decide that you need some further help in applying what you have learnt to your research. If so, you can book a Data Surgery meeting with one of our training fellows.  

More details about Data Surgeries.  

Those who have registered to take part will receive an email with full details on how to get ready for this course.  

If you’re new to this training event format, or to CDCS training events in general, read more on what to expect from CDCS training. Here you will also find details of our cancellation and no-show policy, which applies to this event.  

 

Level   

No previous knowledge of Sentiment Analysis is required for this silent disco, but you will need some prior knowledge and familiarity with R or Python. 

  • Installing and loading packages/libraries
  • Importing and wrangling datasets
  • Some basic familiarity with visualisation 

 

Learning Outcomes  

  • Understand how sentiment analysis tools work and what they can and cannot do
  • Perform sentiment analysis on a series of different datasets and observe how different typologies of texts can be used
  • Understand the wrangling step necessary to prepare texts for sentiment analysis 

 

Skills   

By attending this course, you will familiarise yourself with the following skills  

  • Perform the right steps to prepare unstructured data to perform sentiment analysis
  • Understand how the more popular sentiment analysis packages work
  • Interpret the result of sentiment analysis

     

Explore More Training

Return to the Training Homepage to see other available events

You might be interested in

An illustrative collage with & symbol and old graphs

Getting Started with Regression in R

An illustrative collage with & symbol and a maths graph

Linear Mixed Effects Modelling

image of head

CDCS Digital Research Prizes Award Ceremony

An illustrative collage with & symbol and a historical item

Getting Started with Bayesian Statistics

An illustrative collage with & symbol and an old photograph

Building Personal and Project Websites

Thumbnail with title of the training

Comparing Sentiment Analysis Models in R

image of people drinking coffee

CDCS May Fika

An illustrative collage with & symbol and an old photograph

Explainable Machine Learning (XAI)