Twitter Sentiment Analysis (Naive Bayes Classifier)

[Fall 2020] Week 8: Twitter Sentiment Analysis
Learn how to use natural language processing to determine whether the sentiment of a tweet is positive or negative.
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Github Repo: github.com/Vakhshoori101/Twit...
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Questions?
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[@utsav404]

The way you explain and structure your code with comments is just brilliant! I hope to see some more machine learning workshop. Thanks for this.

[@priyankav6437]

Thank you sir ..I need your help , Training the model with the samples data set, can we predict the sentiments by fetching the live tweets?

[@ominhquanho3860]

I know there are two functions in the sklearn module which are TfidfVectorizer() and CountVectorizer(), will these functions help us to build the frequency dictionary more easier, or the only way is to tokenize the sentiment and create the frequencies ourselves. Thank you so much

[@justkidding1339]

Hello can this be used to classsify real time tweets?

[@lasyapriya5324]

Can you please provide the link for the dataset? So that it will be helpful for me. Thanks in advance

[@mpilonhlefezuvuyohlatshway2763]

is the frequency dictionary ssmillar to the the tfidf?