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Merge classifier branch
Implemented a tokenizer in tokenizer.py by hand as seen in the lecture. Modified all corresponding files involved in the preprocessing.
Updated order (tokenize BEFORE export)
Created documentation file with basic structure. More to be added
Tokenizer
Added option to supply input column
Modified punctuation_remover.py
Resolving merge conflict manually by deleting affected files, then re-creating them by pulling from upstream
Implemented stopword remover based on nltk.corpus.stopwords. Needs further refining, currently raises KeyError
Changed method of iterating over the input column. Still doesn't work, no words removed
Still not working, but raises no error. Problem with properly accessing the column?
Still doesn't work, problem with literal_eval()? Code works as supposed in jupyter though
Comment, imports
Stop word removal
Implemented a lemmatizer based on nltk.stem.WordNetLemmatizer()
Edited corresponding files, added Lemmatizer() to script, added command line args and suffix
Cleaner code, added downloader for spaCy's language model to script. Tested pipeline.
This reverts commit 5df0545.
NER feature extraction
Added both classifier & command line args. Testing successful. Minor changes to documentation
Added MLP classifier
+ added parameter logging for the classifier
The Bayes classifier can't work with negative values, hence the moved scale for the sentiment analysis. Added note to documentation.
Complement NB classifier
Added more comments and cleaned up code.
Added all of our new parameters to the README.md
Runs all configurations
Include all param configurations and document search for optimal parameters
Parameter optimization and documentation
Documentation + visuals
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