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kaushikjadhav01kaushikjadhav01
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Version 4.2
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‎.gitattributes‎

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*.wpress filter=lfs diff=lfs merge=lfs -text

‎Tweet.py‎

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class Tweet(object):
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def __init__(self, content, polarity):
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self.content = content
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self.polarity = polarity

‎constants.py‎

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consumer_key= 'E0pFYVai9VaOhqLiRBEC6gpGF'
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consumer_secret= 'XAMh4l9XL5nwFK3MN5tAjtXA2YgDN1tw5f7L2n6dz5ib8VYlbm'
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access_token='3261604734-86c7DOJP98GwNeFWzvgPQKFUTyHn1ZFwlloJP3v'
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access_token_secret='eXEmlEAdxaFjueVP03jsAWeOeNMkI7ToiDQkyvLDa6eX7'
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num_of_tweets = int(300)

‎main.py‎

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‎requirements.txt‎

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nltk
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keras==2.3.1
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numpy
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streamlit==0.52.1
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seaborn
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tweepy
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textblob
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flask
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pandas
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matplotlib
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scikit_learn
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statsmodels==0.10.1
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yfinance==0.1.54
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alpha_vantage==2.1.3
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tensorflow==1.14.0
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https://pypi.anaconda.org/berber/simple/tweet-preprocessor/0.5.0/tweet-preprocessor-0.5.0.tar.gz

‎static/1.jpg‎

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‎static/3.jpg‎

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‎static/4.jpg‎

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‎static/ARIMA.jpg‎

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