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Sentiments of tweets are analyzed to predict whether the tweet is positive or negative.

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IshtyM/Sentiment-Analysis-of-Twitter-Samples

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Sentiment-Analysis-of-Twitter-Samples

Sentiment analysis refers to identifying as well as classifying the sentiments that are expressed in the text source. Tweets are often useful in generating a vast amount of sentiment data upon analysis. These data are useful in understanding the opinion of the people about a variety of topics It’s also known as opinion mining, deriving the opinion or attitude of a speaker. Here, initally pre-processing of data is done that includes the stopwords removing, stemming and tockenizing followed by prediction using the logistic regression model.

Libraries Used:

Pandas, Numpy, Matplotlib

Programing Language

Python

IDE Used

Jupyter Notebook

Algorthms Used

Logistics Regression