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Financial Text Mining in Twitterland · Study

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ChapterFinancial Text Mining in Twitterland

Sotirios Nikolopoulos2017

Chapter2017

Financial Text Mining in Twitterland

Sotirios Nikolopoulos · Ilias Santouridis

1 citations·0/0 files stored·Springer proceedings in business and economics

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Computational and Text Analysis Methods Sentiment Analysis and Opinion Mining Stock Market Forecasting Methods

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References

2011Twitter mood predicts the stock market 2011Big data: The next frontier for innovation, competition, and productivity 2016Textual Analysis in Accounting and Finance: A Survey 2003The Efficient Market Hypothesis and Its Critics 2013Tweets and Trades: the Information Content of Stock Microblogs 2005Social Mood and Financial Economics 2015The Effects of Twitter Sentiment on Stock Price Returns 2010When machines read the news: Using automated text analytics to quantify high frequency news-implied market reactions

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2017Weibo sentiments and stock return: A time-frequency viewarticle · 5 shared references 2020Social Media Sentiment in International Stock Returns and Trading Activityarticle · 4 shared references 2018Using Twitter trust network for stock market analysisarticle · 4 shared references 2013On the Predictability of Stock Market Behavior Using StockTwits Sentiment and Posting Volumeother · 4 shared references 2019Liquidity Risk and Investors’ Mood: Linking the Financial Market Liquidity to Sentiment Analysis through Twitter in the S&P500 Indexarticle · 4 shared references 2017Social Machines: How Recent Technological Advances have Aided Financialisationarticle · 4 shared references

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Year2017

Typechapter

Published2017-01-01

VenueSpringer proceedings in business and economics

ISSN-L2198-7246

Languageen

Citations1

Files0 public / 0

ShelfComputational and Text Analysis Methods

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doi10.1007/978-3-319-56288-9_16

openalex_workW2621041950

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