A MULTI-EXPERT APPROACH TO IMPROVING DICTIONARY-BASED SENTIMENT ANALYSIS WITH CORRELATED FOREX MARKET DATA

In: Journal of Theoretical and Applied Information Technology, Vol. 101, No. 21, 2023.

Research output: Contribution to journal › Article › peer-review

@article{c87eda7049f14b1aaa2431a7a5d890a7,

title = "A MULTI-EXPERT APPROACH TO IMPROVING DICTIONARY-BASED SENTIMENT ANALYSIS WITH CORRELATED FOREX MARKET DATA",

author = "Мусаев, {Александр Азерович} and Григорьев, {Дмитрий Алексеевич}",

year = "2023",

language = "English",

volume = "101",

journal = "Journal of Theoretical and Applied Information Technology",

issn = "1992-8645",

publisher = "Asian Research Publishing Network (ARPN)",

number = "21",

}

TY - JOUR

T1 - A MULTI-EXPERT APPROACH TO IMPROVING DICTIONARY-BASED SENTIMENT ANALYSIS WITH CORRELATED FOREX MARKET DATA

AU - Мусаев, Александр Азерович

AU - Григорьев, Дмитрий Алексеевич

PY - 2023

Y1 - 2023

M3 - Article

VL - 101

JO - Journal of Theoretical and Applied Information Technology

JF - Journal of Theoretical and Applied Information Technology

SN - 1992-8645

IS - 21

ER -

ID: 114039635