Update existing Python program to use different classifiers
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€20(approx. $21)
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Description
Experience Level: Entry
An existing Python program (sourced from https://github.com/wendykan/DeepLearningMovies) uses a Random Forest classifier to classify the sentiment of tweets.
I would like to try different classifiers - 1) An SVM classifier and 2) a Naive Bayes classifier in same code.
I have tried updating code according to scikit-learn parameters from:
https://scikit-learn.org/stable/auto_examples/classification/plot_classifier_comparison.html
The SVM and Naive Bayes code are receiving "ValueError: Input contains NaN, infinity or a value too large for dtype('float64')" errors. Should be a quick fix.
Please provide details about all additional code, and settings per each classifier. Initial (Random Forest) code attached plus appropriate datasets.
I would like to try different classifiers - 1) An SVM classifier and 2) a Naive Bayes classifier in same code.
I have tried updating code according to scikit-learn parameters from:
https://scikit-learn.org/stable/auto_examples/classification/plot_classifier_comparison.html
The SVM and Naive Bayes code are receiving "ValueError: Input contains NaN, infinity or a value too large for dtype('float64')" errors. Should be a quick fix.
Please provide details about all additional code, and settings per each classifier. Initial (Random Forest) code attached plus appropriate datasets.
Eddy S.
93% (17)Projects Completed
17
Freelancers worked with
13
Projects awarded
90%
Last project
3 May 2022
United States
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