Introduction to Sentiment Analysis

Intro to Sentiment analysis

 

 

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, but no previous programming experience will be required.

This workshop will cover: 

·         How Sentiment Analysis works 

·         Pros and Cons 

·         Sentiment Analysis of text 

·         Analysing user feedback 

·         Analysing Twitter 

Due to high demand for our training events, our cancellation and no-show policy applies to bookings for this event. Click here for details of this policy

If the material is available for Asynchronous training you will be able to access it via the "Go to the Training Material" button

You might be interested in

Introduction to Databases and SQL

Silent Disco: Introduction to Databases and SQL

An Introduction to Machine Learning

An Introduction to Machine Learning

Introduction to Text Analysis with Python

Introduction to Text Analysis with Python

text analysis

Digital Method of the Month: Text Analysis

Analysing Spatial Dynamics with GIS and R

Analysing Spatial Dynamics with GIS and R

Analysing Polarisation in Political Texts

Analysing Polarisation in Political Texts

Interactive Analysis Reports with R Markdown

Interactive Analysis Reports with R Markdown

Null Hypothesis Testing in R

Null Hypothesis Testing in R

Manuscript

Getting Started with Transkribus