GitHub - venkatasubbaraointi/Predicition-of-Election-Results-using-Sentiment-Analaysis-in-Twitter-Real-Time-Data: Predicting the winner of election results based on the people tweets on that particular party. we will collect the real time data from the twitter using Apache Flume as well as Python tweepy Library. We applied Naive Baise Algorithm on the training data the model. And then we transformed the same model on testing dataset. And then at the end , we have compared the results with other models like Affin,vader,etc.

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Predicting the winner of election results based on the people tweets on that particular party. we will collect the real time data from the twitter using Apache Flume as well as Python tweepy Library. We applied Naive Baise Algorithm on the training data the model. And then we transformed the same model on testing dataset. And then at the end , w…

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Name		Name	Last commit message	Last commit date
Latest commit History 1 Commit
Final Documentation.pdf		Final Documentation.pdf
Review of ML application for Multipath QUIC-1.pdf		Review of ML application for Multipath QUIC-1.pdf
Untitled.ipynb		Untitled.ipynb
afinn_original.py		afinn_original.py
janasenaoutput.csv		janasenaoutput.csv
myownprep.py		myownprep.py
naivebayes_original.py		naivebayes_original.py
prep_janasena.csv		prep_janasena.csv
prep_tdp.csv		prep_tdp.csv
prep_ysrcp.csv		prep_ysrcp.csv
tdpoutput.csv		tdpoutput.csv
twitter_search.py		twitter_search.py
vader_original.py		vader_original.py
ysrcpoutput.csv		ysrcpoutput.csv