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Investment - Fintech Application - Natural Language Processing (NLP)
Put succinctly, natural language processing (NLP) is a collection of methods that starts with converting unstructured textual data into structured (machine-readable) data, which is subsequently categorized or clustered to extract relevant information.
Stock Sentiment Analysis: To swiftly and thoroughly respond to the question, "Does the stock market perceive this news as good or bad for the company's stock price?" natural language processing (NLP) is used to categorize company news into "positive" or "negative" sentiment. The timing of stock purchases and sales can be improved by using sentiment analysis in addition to analysts' predictions and valuation models.
Theme Extraction and Identification
NLP can be used to swiftly extract and cluster information that exposes underlying trends or themes from the regulatory filings and quarterly reports of many corporations, including the S&P 500 Index companies. These include problems with the supply chain, narrowing profit margins, or declining consumer demand. These topics could then serve as the foundation for investment or trading strategies.
Put succinctly, natural language processing (NLP) is a collection of methods that starts with converting unstructured textual data into structured (machine-readable) data, which is subsequently categorized or clustered to extract relevant information.
Stock Sentiment Analysis: To swiftly and thoroughly respond to the question, "Does the stock market perceive this news as good or bad for the company's stock price?" natural language processing (NLP) is used to categorize company news into "positive" or "negative" sentiment. The timing of stock purchases and sales can be improved by using sentiment analysis in addition to analysts' predictions and valuation models.
Theme Extraction and Identification
NLP can be used to swiftly extract and cluster information that exposes underlying trends or themes from the regulatory filings and quarterly reports of many corporations, including the S&P 500 Index companies. These include problems with the supply chain, narrowing profit margins, or declining consumer demand. These topics could then serve as the foundation for investment or trading strategies.
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