Characteristics and predictability of Twitter sentiment series

MODSIM 2011 - 19th International Congress on Modelling and Simulation - Sustaining Our Future: Understanding and Living with Uncertainty

Volumn , Issue , 2011, Pages 1617-1623

  Logunov, A ^a   Panchenko, V ^a  

^a UNIVERSITY OF NEW SOUTH WALES   (Australia)

Author keywords

Sentiment index; Time series analysis; Twitter

Indexed keywords

COMPUTATIONAL FEASIBILITY; DAY-OF-THE-WEEK EFFECT; ECONOMIC INDICATORS; FACIAL EXPRESSIONS; HETEROSCEDASTICITY; NATURAL DISASTERS; PICTORIAL REPRESENTATION; REAL-TIME PREDICTION; SENTIMENT CLASSIFICATION; SENTIMENT INDEX; STOCK MARKET; TWITTER;

TIME SERIES ANALYSIS; UNCERTAINTY ANALYSIS;

SOCIAL NETWORKING (ONLINE);

EID: 84858831319     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

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