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Foreign exchange market / Investment / Natural language processing / World Wide Web / Fundamental analysis / Twitter / Sentiment analysis / Machine learning / Financial economics / Stock market / Commodities market


Sentiment analysis on tweets in a financial domain Jasmina Smailović1,2, Miha Grčar1, Martin Žnidaršič1 1 Dept of Knowledge Technologies, Jožef Stefan Institute, Ljubljana, Slovenia 2 Jožef Stefan International Po
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Document Date: 2013-10-23 07:30:05


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City

New York / Ljubljana / /

Company

Twitter / Apple / Free Statistics Software / /

Country

United States / Saudi Arabia / Slovenia / Kuwait / /

Currency

pence / /

/

Event

Earnings Announcement / /

Facility

Jožef Stefan Institute / Stanford University / /

IndustryTerm

online microblogging service / opinion mining / online texts / web links / machine learning algorithm / data mining / social networks / pre-processing / online chatter / /

MarketIndex

Dow 30 / /

Organization

Jožef Stefan International Postgraduate School / Office for Research Development and Education / Slovenian Research Agency / Stanford University / Jožef Stefan Institute / Web Intelligence / Association for Computational Linguistics / /

Person

S.J. Malaikah / Steve Jobs / /

Position

CEO / K. C. Butler / /

Product

iPhone / /

ProvinceOrState

New York / /

PublishedMedium

Computational Linguistics / Journal of Behavioral Finance / Financial Analysts Journal / /

SportsLeague

Stanford University / /

Technology

t-1 / API / data mining / Vector Machine machine learning algorithm / machine learning / research program Knowledge Technologies / /

URL

http /

SocialTag