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Hotels reviews classification into class- True/Fake and class- Positive/Negative

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Name		Name	Last commit message	Last commit date
Latest commit History 6 Commits
input		input
.gitignore		.gitignore
Description.pdf		Description.pdf
README.md		README.md
percepclassify3.py		percepclassify3.py
perceplearn3.py		perceplearn3.py
percepoutput.txt		percepoutput.txt

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Hotel-Reviews-Classification

Project similar to https://github.com/visrahane/Hotel-Reviews-Classification-Naive-Bayes.

Results

	Reference Mean F1	My Mean F1
Vanilla Perceptron	0.8254	0.8843
Averaged Perceptron	0.8844	0.8905

Future scope : It can be extended to classify any types of reviews.

For more details refer : http://ron.artstein.org/csci544-2018/coding-3.html and https://github.com/visrahane/Hotel-Reviews-Classification-Perceptron/blob/master/Description.pdf

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Hotels reviews classification into class- True/Fake and class- Positive/Negative

classifier python-3 perceptron

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Python 100.0%