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StockSentimentAnalysis

Refered vadar sentiment for sentiment analysis, Nave bayes- model, LSTM- Advanced RNN.
Testdata through webscrapping from various resources.

Architecture of model


Sentiments from finviz webscrapping through bs4
Data from yfinance python lib
Used nave bayes algo based on bayes probability theorem
Used neural network to generate value from sentiments
Computed compound value then 0.5> buy, <0 sell, else hold.

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Python Libraries for analysing news and stock price resulting in compound value

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