St. Neots, Cambridgeshire, United Kingdom

Twitter Sentiment text analysis

Knowledge Base Software

The Twitter Analysis allows analyse twitter posts and make sentiment analysis based on twitter posts.

It’s basically the technique for sentiment analysis using text mining (Natural Language Processing).
Social media posts can be analysed by this software. For example using this software we are able to get latest user’s feeling from Twitter related to subject I’m interested (also location of posts can be considered). Obviously there can be hundreds or thousands posts but the software use the sentiment text analysis and can show me ‘emotion’ of each entry in Twitter in scale from -1.0 to 1.0. The -1.0 means that the user was terrible experience or feeling about given subject or product. Using Twitter we are able to filter posts based on location or dates. Just adding further changes we can observe forums or other media.

The web application is available here:

To use the Android software following steps are necessary. First user must setup the twitter account and retrieve the keys. Please follow the setup procedure below:

Go to

Create new application by pressing button ‘Create new app’.

On next page fill all fields marked ‘*’

Once the application is successful created, please go to tab ‘Keys and access tokens’.

Pick up the Consumer Key and Consumer Secret and enter into fields in the ‘Settings’ window of the Twitter Analysis software.