Silent Disco: Introduction to Sentiment Analysis
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 the Python programming language.
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 is an intermediate-level workshop. You will need a basic understanding of Python and how to run Python code.
To attend this course, you will have to join the associated Microsoft Teams group. The link to join the group will be sent to attendees prior to the course start date, so please make sure to do so in advance.
This Silent Disco will be facilitated by Xan Cochran.
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.
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.
If you're interested in other training on text analysis, have a look at the following:
- Digital Method of the Month: Text Analysis
- Introduction to Text Analysis with Python
- Introduction to Topic Modelling with Bert
- Silent Disco: Understanding and Creating Word Embeddings
- Introduction to Network Analysis with Gephi
- Digital Method of the Month: What LLM Can and Cannot Do
- Beyond Social Networks: Advanced Uses of Gephi in Humanities Research
- Advanced Uses of LLM
- Silent Disco: Hackers' Guide to Language Models
