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A hype-adjusted probability measure for NLP stock return forecasting

https://doi.org/10.2139/ssrn.5276571
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-3-031-02145-9openalex-extracted
Sentiment Analysis and Opinion Mining
inferredcites →https://doi.org/10.1016/j.jeconom.2020.07.053openalex-extracted
Measuring news sentiment
inferredcites →https://doi.org/10.1111/1540-5885.410043openalex-extracted
Marketing Hype: A New Perspective for New Product Research and Introduction
inferredcites →https://doi.org/10.1371/journal.pone.0173151openalex-extracted
Twitter sentiment around the Earnings Announcement events
inferredcites →https://doi.org/10.1609/icwsm.v8i1.14550openalex-extracted
VADER: A Parsimonious Rule-Based Model for Sentiment Analysis of Social Media Text
inferredcites →https://doi.org/10.3389/fams.2021.601105openalex-extracted
Sentiment-Guided Adversarial Learning for Stock Price Prediction
inferredcites →https://doi.org/10.3389/frai.2022.836809openalex-extracted
A sentiment analysis approach to the prediction of market volatility
inferredcites →https://doi.org/10.3389/frai.2023.1091443openalex-extracted
Masking important information to assess the robustness of a multimodal classifier for emotion recognition
inferredcites →https://doi.org/10.47473/2020rmm0038openalex-extracted
Does Unusual News Forecast Market Stress?
inferredcites →https://doi.org/10.5555/944919.944966openalex-extracted
A neural probabilistic language model

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1051/itmconf/20268801010openalex-snapshot
Research and Analysis on the Application of NLP in Quantitative Investment in the Stock Market
inferred← citeshttps://doi.org/10.2139/ssrn.5279231openalex-snapshot
The Hype Index: an NLP-driven Measure of Market News Attention
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