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.
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
- 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
By attending this course, you will become familiar 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
