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Retrieved financial institutions data using Twitter’s API, created a database, and performed pre-processing of this data • Created an AI module which classified each tweet into three different sentiment groups: Positive, Negative and Neutral Developed a POC which predicted the stock price of these financial institutions based on the different se…

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bhavyadubey/Sentiment_Analysis_Finance

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Sentiment_Analysis_Finance

In this i predicted the stock price of different companies based on the sentiments of the news and tweets related to particular company. Sentiment analysis is an automated process that uses computing to spot positive, negative, or neutral opinions from the text. Sentiment analysis is widely used for getting insights from social media such as Twitter, and merchandise reviews to create data-driven decisions. Sentiment analysis systems are accustomed to add up to the unstructured text by automating business processes and saving hours of manual processing.

The project workflow established is shown in the below figure:

image

For Example NIFTY 50 Handles:

'INDMarketsLIVE', 'Nifty50trade', 'forum_stock', 'Nifty50Striker', 'livemint', 'moneycontrolcom', 'MSChawla555'

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Retrieved financial institutions data using Twitter’s API, created a database, and performed pre-processing of this data • Created an AI module which classified each tweet into three different sentiment groups: Positive, Negative and Neutral Developed a POC which predicted the stock price of these financial institutions based on the different se…

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