Questions tagged [nlp]
The nlp tag has no usage guidance.
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Predict a company business classification
I am trying to predict whether companies belong to a universe considered by an index provider for a particular thematic index using natural language processing techniques.
In this particular example, ...
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What are some factually incorrect quantitative finance answers generated by AI?
One question and AI-generated response per answer. Community wiki flag and an explanation of why the AI response is wrong are encouraged. The AI program can optionally be identified. Including the ...
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How to regard intraday volume in a sentiment study?
I am currently working on a sentiment study, which means I want to investigate the influence of sentiment on stock prices and trading volume. Regarding stock prices is relatively simple, I calculate ...
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Literature recommendations regarding sentiment in the stock market
I plan to write a paper about the influence of investors sentiment on the stock market.
I would like to look specifically at the question of what has an impact on what: does sentiment influence ...
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Extract Qualitative information from annual report commentary and disclosure
Can anyone give idea on the value of latent information in annual report commentary and disclosure. It would be interesting to hear from analyst on how much time they spend reading through annual ...
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Are there any known text analysis NLP bots that read 8k filings, news, twits, articles - "understand" them and trade based on their derived meaning?
I want to build an NLP bot that "reads" and understands meaning and sentiment of articles, twits and trades on them. E.g. understand general sentiment of comments under important financial blog posts ...
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Sources of Machine Readable News
I'm starting on a project that involves correlating and forecasting Forex time series to news releases. I'm aware of sources such as Thomson Reuter's machine readable news and Dow Jone's Newswire ...
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Any research on how natural language processing can be used to forecast stocks?
Is there any published research of decent quality linking news or unstructured information to asset returns? I know that Thomson Reuters offers its Machine Readable news (MRN), so somebody must use it....