π§βπ»: Stock sentimental analysis #793
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hacktoberfest
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Status: Assigned
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Title
Stock sentimental analysis
Enhancement Aim
The aim of a Stock Sentiment Analysis project using LSTM RNN is to predict stock market trends by analyzing the sentiment expressed in financial news, social media, or other text sources. By extracting positive, negative, or neutral sentiments from this data and combining it with stock price history, the LSTM RNN model can identify patterns and forecast future price movements. This helps investors make more informed decisions by understanding how market sentiment may impact stock prices.
Changes
The Stock Sentiment Analysis project using LSTM RNN enhances stock price predictions by integrating sentiment data from financial news and social media, leading to more accurate forecasts and helping investors make better decisions based on how public sentiment influences market trends.
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Guidelines
Full Name
Sapnil Modak
Participant Role
Sapnil
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