Introduction to Sentiment Analysis

Sentiment analysis Mashup


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 the Python programming language. 

This workshop will cover:  

·         How Sentiment Analysis works  

·         Pros and Cons  

·         Sentiment Analysis of text  

·         Analysing user feedback  

·         Analysing Twitter 

The workshop will take place via Microsoft Teams in a ‘Silent Disco’ format. This is an asynchronous event: when taking part, you will work through the tutorial at your own pace with an instructor available online to help you with any issues. 

This is an intermediate level event. Intermediate events explore specific aspects of the method (libraries, tools etc.) and offer more in-depth understanding of the course topics, without introducing the basics. Some previous experience of using Noteable is required to be able to follow the content. 

Those who have registered to take part will receive an email with full details and a link to join the session in advance of the start time. 

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. 

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. 

Return to the Training Homepage to see other available events.