Add to ORKGPRACTITIONERS AND RESEARCHERS ALIKE INCREASINGLY USE SOCIAL MEDIA MESSAGES AS AN ADDITIONAL SOURCE OF INFORMATION WHEN DEALING WITH STOCKS. BASED ON EMOTION THEORY AND AN ESTABLISHED SENTIMENT LEXICON, WE DEVELOP AND APPLY AN OPEN SOURCE DICTIONARY FOR THE ANALYSIS OF SEVEN DIFFERENT EMOTIONS IN 5.5 MILLION TWITTER MESSAGES ON 33 S&P 100 COMPANIES. WE FIND VARYING EXPLANATORY POWER OF DIFFERENT EMOTIONS (ESP. HAPPINESS, AND DEPRESSION) FOR COMPANY-SPECIFIC STOCK PRICE MOVEMENTS OVER A PERIOD OF THREE MONTHS
Social media managers as well as analysts use social media messages as an additional channel to mana...
The analysis of microblogging data related with stock mar- kets can reveal relevant new signals of i...
With the development of internet and information technology, online text data has become available a...
Practitioners and researchers alike increasingly use social media messages as an additional source o...
Practitioners and researchers alike increasingly use social media messages as an additional source o...
Social media platforms such as Facebook and Twitter have enormous amounts of data that can be extrac...
The rapid growth of social networks has produced an unprecedented amount of user-generated data, whi...
This experiment analyzes “tweets” gathered from Twitter and determines whether the positive or negat...
The popularity of many social media sites has prompted both academic and practical research on the p...
Social media sentiment applied in the stock market is extracted from social media platforms and rese...
International audienceThe goal of this research is to build a model to predict stock price movement ...
Stock market movements forecast based on sentiment analysis is certainly a field worth investigating...
Background: As Twitter has become a global microblogging site, it s influ-ence in the stock market h...
Financial economic research has extensively documented the fact that the impact of the arrival of ne...
There has recently been some effort to mine social media for public sentiment analysis. Studies have...
Social media managers as well as analysts use social media messages as an additional channel to mana...
The analysis of microblogging data related with stock mar- kets can reveal relevant new signals of i...
With the development of internet and information technology, online text data has become available a...
Practitioners and researchers alike increasingly use social media messages as an additional source o...
Practitioners and researchers alike increasingly use social media messages as an additional source o...
Social media platforms such as Facebook and Twitter have enormous amounts of data that can be extrac...
The rapid growth of social networks has produced an unprecedented amount of user-generated data, whi...
This experiment analyzes “tweets” gathered from Twitter and determines whether the positive or negat...
The popularity of many social media sites has prompted both academic and practical research on the p...
Social media sentiment applied in the stock market is extracted from social media platforms and rese...
International audienceThe goal of this research is to build a model to predict stock price movement ...
Stock market movements forecast based on sentiment analysis is certainly a field worth investigating...
Background: As Twitter has become a global microblogging site, it s influ-ence in the stock market h...
Financial economic research has extensively documented the fact that the impact of the arrival of ne...
There has recently been some effort to mine social media for public sentiment analysis. Studies have...
Social media managers as well as analysts use social media messages as an additional channel to mana...
The analysis of microblogging data related with stock mar- kets can reveal relevant new signals of i...
With the development of internet and information technology, online text data has become available a...