Music Festivals Tweets Data Analysis
IBM jStart (a part of IBM Software Solutions Group) contacted Axmor with an objective of gathering music festivals related messages on Twitter, providing data analysis, identifying certain patterns and analysis visualization.
The outcome — BlueMix Insights service and IBM Watson analytical services capabilities demonstration.
Utilizing the BlueMix Insights service, the Axmor team gathered all the tweets within a year, in which festivals or artists from the customers’ list were mentioned.
Data Analysis and Visualisation
Spark Notebook and Jupyter Notebook in Python were used in the data mining process.
Data Classification and Analysis Model
Incorporating machine learning technologies, Axmor developers have designed a trigger driven data model for tweets classification.
Music Festivals and Artists Comparison
Axmor has analysed the most popular festivals and gathered data about different events affecting artist discussion.
To evaluate the event success, Axmor developers have used BlueMix Watson Tone Analyzer tone analysis service.
How The Software Solution Works
In the time period of three months the Axmor team aggregated and analyzed over 2000 tweets focusing on the Coachella festival and similar music events, as well as on popular artists from the customer's list. The data was collected using the BlueMix Insights service. To analyse message tonality the BlueMix Watson Tone Analyzer tool was implemented.
Utilizing machine learning technology, Axmor developed a trigger driven model which classifies determined tweets.
The outcome — the Axmor team was able to identify the most important events for the audience, compare festivals and artists by popularity, visualize user data, create user activity charts depending on particular events such as upcoming festivals or album release announcements.
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