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License: MIT License
Remove temporary files at the end of the lemmatization script
Two choices:
Split data to training, validation and test sets with the ratio 7:2:1
More info:
Due to the sensitivity of data, the texts should be lemmatized locally instead of utilizing a lemmatisation service.
Possible lemmatizers:
Explanation: http://www.coli.uni-saarland.de/~crocker/Teaching/Connectionist/lecture11_4up.pdf
Assumes that issue #1 is already implemented
Stopwords are downloaded from a text file. They can be used together with the NLTK stopwords.
Candidates for Finnish stopword lists:
Possible classification methods:
Used in classifying Turkish news articles: http://www.academia.edu/5834888/Analysis_of_Preprocessing_Methods_on_Classification_of_Turkish_Texts
Too frequent and rare words should be discarded using e.g. tf-idf.
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