Various algorithms can be used for text classification. You can build a classifier in scikit using the following code:
from sklearn.linear_model import LogisticRegression as LRfrom sklearn.pipeline import Pipeline
Let's dissect the preceding code, line by line.
The initial two lines are simple imports. We import the fairly well-known Logistic Regression model and rename the import LR. The next is a pipeline import:
"Sequentially apply a list of transforms and a final estimator. Intermediate steps of the pipeline must be "transforms", that is, they must implement fit and transform methods. The final estimator only needs to implement fit."
- from sklearn docs
Scikit-learn pipelines are, logistically, lists of operations that ...
