Problem statement:

  

Developing an effective sentiment analysis model for stock market by natural language processing techniques and analyzing news articles from reputable financial sources, the study seeks to explore the relationship between news sentiment and market performance.



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Result :

 By using the yahoo finance dataset  we were able to sentiment classification and predict the correct sentiment(positive or negative).The model we have use is there is logistic regression. Now as the dataset was not having any features (as it was just sentences).it was not possible to obtain the sentence using any machine learning model so we have collected the dataset of various stocks which were having features of closing price and opening price and therefore we have were able to do prediction that particular dataset using lstm mechanism
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Motivation:

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 Sentiment analysis on the stock market is a valuable tool for investors, analysts, and financial institutions. It provides insights that are not available through traditional analysis, helping to predict market movements, manage risks, and create more informed investment strategies. As technology continues to evolve, the accuracy and utility of sentiment analysis are likely to increase, further enhancing its importance in the financial sector.
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