GitHub - dineshp23/Twitter_Sentiment_Analysis: A project in data science, where I trained machine learning models to analyse tweets and predict their sentiment.

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A project in data science, where I trained machine learning models to analyse tweets and predict their sentiment.

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Name		Name	Last commit message	Last commit date
Latest commit History 2 Commits
Data_Visualization		Data_Visualization
NLTK		NLTK
SampleOutputs		SampleOutputs
Naive_Keywords_Time.py		Naive_Keywords_Time.py
README.txt		README.txt
THSAFinalReport.pdf		THSAFinalReport.pdf
bayes.py		bayes.py
crawlHurricaneMatthew.csv		crawlHurricaneMatthew.csv
crawlTrump.csv		crawlTrump.csv
stopwords.txt		stopwords.txt
testing_dataset.csv		testing_dataset.csv
training_dataset.csv		training_dataset.csv
twitterCrawler.py		twitterCrawler.py
vader_sentiment_lexicon.txt		vader_sentiment_lexicon.txt
visualizeBayes.py		visualizeBayes.py

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Files contain in this folders are:
THSAFinalReport.pdf	// Final Project Report
bayes.py		// Code for Evaluation
Naive_Keywords_Time.py	// Code for Data Visualization of WordCloud, Timeline, and Percentage
twitterCrawler.py	// Code for Crawling Twitter API
visualizeBayes.py	// Code for Data Visualization of Top Tweets
*.csv and *.txt		// Dataset Necessary to Run the Codes and Text Outputs
Data_Visualization	// Data visualization in R
SampleOutputs/		// Contains Sample Images
NLTK/			// This Directory Contains All the Code and Files Necessary to Run Classifiers in NLTK library