Efficiency analysis on sentiment classification with finanacial tweets for stock market prediction among LSTM, BiLSTM, and FinBERT models

TextLanguage: English Publication details: Bengaluru : Presidency University, 2024Description: xi, 166 pISBN: 20193MGT0027Subject(s): Stock Market | FinBERT | BilSTM | FinTwitsDDC classification: 658 SAT

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Holdings
Item type	Current library	Collection	Call number	Materials specified	URL	Status	Date due	Barcode
Thesis	Presidency University Library	Reference	658 SAT (Browse shelf(Opens below))		Link to resource	Hardcopy - Reference only		T156

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