In this post, I want to show how I use NLTK for preprocessing and tokenization, but then apply machine learning techniques (e.g. building a linear SVM using stochastic gradient descent) using Scikit-Learn.
@startuml
participant User
User -> A: DoWork
activate A #FFBBBB
A -> A: Internal call
activate A #DarkSalmon
A -> B: << createRequest >>
activate B
B --> A: RequestCreated
deactivate B
deactivate A
A -> User: Done
deactivate A
@enduml
C. Bretschneider, S. Zillner, M. Hammon, P. Gass, and D. Sonntag. 30th IEEE International Symposium on Computer-Based Medical Systems, CBMS 2017, Thessaloniki, Greece, June 22--24, 2017, page 213--218. Los Alamitos, CA, IEEE Computer Society, (2017)
M. Hearst. Proceedings of the 14th Conference on Computational Linguistics - Volume 2, page 539--545. Stroudsburg, PA, USA, Association for Computational Linguistics, (1992)