machine learning classifier for sentiment analysis
$10-30 USD
Paid on delivery
Develop a machine learning classifier for sentiment analysis. Based on the dataset , write a python program to implement a sentiment classifier and evaluate its performance. Notice:80% data for training and 20% data for testing.
(1) Features used for sentiment classification and explain why you select these features.
(2) Select two of the supervised learning algorithm from scikit-learn library: [login to view URL], to build a sentiment classifier respectively.
(3) Compare the performance over accuracy, precision, recall, and F1 score for the two algorithms you selected. Here is the reference of how to calculate these metrics: [login to view URL]
I need all the above details .
Project ID: #32217272
About the project
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☀️☀️☀️☀️☀️ Hello , I hope you are safe and Doing well I have seen your project requirements , I am looking to discuss further with you Hope we will meet soon to discuss further More
5 freelancers are bidding on average $31 for this job
Hello, We are a team of professional ML and AI developers who have worked on various models and algorithms before. We have custom built almost all of our models so that it suits the user's application best. Let us know More
Hello! This task sounds like a task in a social data science class I took a year ago. I think I can easily help you with that tomorrow. Write me and we can discuss any further steps.
