Big picture outline of architectural components in a pipeline. General flow of processing for text based machine learning solutions. This can be generalized to other solutions as well
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Machine Learning based Text Processing
1.
2. Prediction
Model for
Predictions
Machine has learned
and can predict within a
range of accuracy
Data Aggregation
Data is homogenized and
collected in a central system
Aggregation
Sources
Multiple Disparate Data
Sources
Source maybe database, web,
files or combination of these
Bag Of
Words
(Dataset)
Feature Engineering
Interesting text is extracted +
weighed + labeled
Machine
Learning
Apply Machine
Learning
Various algorithms,
libraries (NLP/NLU)
maybe used, intuition
developed and learning
system finalized