Classification-of-App-Reviews

Collaborated in a team of three to create a web-app to classify user app reviews into 3 different categories(Python/Flask/ML).

Used Naive Bayes Supervised Algorithm to train the data and classify the data into bug reports, feature requests, and sentiments.

Integrated the machine learning model into the Flask application, allowing users to enter text inputs and receive instant sentiment predictions.

Strict adherence to coding guidelines and meticulous documentation practices were consistently maintained.

Name		Name	Last commit message	Last commit date
Latest commit History 5 Commits
__pycache__		__pycache__
classifiers		classifiers
counts		counts
static		static
templates		templates
tfidf		tfidf
README.md		README.md
classifier.py		classifier.py
evaluator.py		evaluator.py
file_bug_report		file_bug_report
file_feature_request		file_feature_request
file_info_asking		file_info_asking
file_info_giving		file_info_giving
file_writer.py		file_writer.py
flaskkk.py		flaskkk.py
reviews.csv		reviews.csv

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