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The Natural Language Toolkit (NLTK) is a popular library for natural language processing (NLP) in Python used to develop NLP applications and analyze text data. In this assignment, you will use NLTK to analyze tweets made by President Brank Obama to address the following questions:
Import the text data (tweets) into Python from https://raw.githubusercontent.com/kirenz/twitter-tweepy/main/tweets-obama.csv
Transform the text data to lowercase.
Tokenize the data.
Remove the stop words.
Remove infrequent words.
Lemmatize the text data
Build a world cloud for the most frequent words.
Create the most frequent words in the document.
Complete sentiment analysis using a sentiment intensity analyzer.
Include popularity score.
Include screen prints of your Python codes and results when submitting your assignment.
Do you need this or any other assignment done for you from scratch?
We assure you a quality paper that is 100% free from plagiarism and AI.
You can choose either format of your choice ( Apa, Mla, Havard, Chicago, or any other)
NB: We do not resell your papers. Upon ordering, we do an original paper exclusively for you.
NB: All your data is kept safe from the public.