"Trainline is using artificial intelligence (AI) to automate disruption alerts in its voice app for Google Assistant. The Trainline team''s model trawls rail operators'' Twitter accounts for relevant data. The information is then available to passengers when they ask questions like ''How''s my commute doing?'' or ''Is this train on-time?'' The system uses natural language processing and machine learning to analyse the data on rail disruptions collected from Twitter feeds. The notification system automatically classifies the importance of a message, while a second layer of contextual scoring determines which stations are affected by a disruption. The AI automatically matches this information to individual user journeys and uses it to inform customers using the voice app about disruptions. Trainline says that alerts will often be pushed "before this data is available through the national rail data feeds". Customers can also view the history of the disruption, so they can see its scale, when it started, how it has unfolded and what is being done to fix it. The voice disruption notification feature is available in the Trainline voice app for Google Assistant now"
"The system uses natural language processing and machine learning to analyse the data on rail disruptions collected from Twitter feeds. The notification system automatically classifies the importance of a message, while a second layer of contextual scoring determines which stations are affected by a disruption."
Rail operators'' Twitter feeds
Results undisclosed