ADAPTIVE FILTERING OF TWEETS WITH MACHINE LEARNINGNeri Van Otten

Data Scientist, Conversocial

About Conversocial• Social customer service platform

Intelligent Prioritization

Continual Improvement• Incorporate feedback from customers• Constant monitoring performance

How to Process Text• Create features• Tf-idf for bag of words• N-grams• Other features e.g. length of text, contains url, …• Convert to matrix of 0/1• Singular value decomposition (SVD)• Machine learning models

Parameter Optimization• Separate server• Runs on backup copy of database

Training Models• Daily training• Queued and trained when servers are under utilized• Lower priority as the system still has working models• Store to S3

Models in Production• Servers specific for prioritization• Chef to configure new servers• Servers download models from S3• Cache as many models in memory as possible• Evict older models• Use the client specific model to classify message

Questions