Welcome back to our series! In our previous posts, we outlined various dataset portals you can use to find the right dataset for your financial and economic-related projects, as well as open government dataset portals for any governmental, environmental and policy-related projects.

For the third instalment of the series, we’ve scoured the web to find dataset portals and links to datasets you can use for any Text Mining and Sentiment Analysis-related projects you may have. These datasets include social network posts, paper reviews and entertainment reviews which vary from raw data, to labelled data, ready for you to start working with.

What is Sentiment Analysis?

It’s the process of using a computer to identify and categorise opinions in a piece of text in order to determine the writers attitude towards a particular product, service, topic, and so on. These can be expressed as positive, negative or neutral.

What is an application of Sentiment Analysis?

Professor Kenneth Benoit, recently delivered a talk at our Cambridge AI Summit 2018 on how him and his team used Sentiment Analysis to analyse the attitudes of the electorate in their study ‘Quantitative Text Mining, the Social Scientific Way: Mining Social Media on Brexit’.

Click here to watch the talk