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Long english text passages are given, a genuine topic is needed to be assigned to the particular text passage. After cleaning the dataset, features were learnt using thidf approach, Linear SVC is used to get the final prediction

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data		data
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FinalSubmission.csv		FinalSubmission.csv
README.md		README.md
requirements.txt		requirements.txt
topicClassifier.py		topicClassifier.py

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TopicClassificationChallenge

Resources:

For Preprocessing

-https://dzone.com/articles/nlp-tutorial-using-python-nltk-simple-examples

For the model

-https://www.youtube.com/watch?v=5xDE06RRMFk

Install Requirements

pip3 install -r requirements.txt

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Long english text passages are given, a genuine topic is needed to be assigned to the particular text passage. After cleaning the dataset, features were learnt using thidf approach, Linear SVC is used to get the final prediction

topic pandas-dataframe python3 dataset nltk classification preprocessing stemming stopwords-removal featureselect linearsvc sklearn-library

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