?url_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adissertation&rft.au=Syauqi+Muhammad+Abrar%2C+NIM.%3A+19106050015&rft.aulast=Syauqi+Muhammad+Abrar&rft.aufirst=NIM.%3A+19106050015&rft.degree=Skripsi&rft.date=11+August+2023&rft.title=ANALISIS+SENTIMEN+PENGGUNA+TWITTER+TERHADAP+TOPIK+CRYPTOCURRENCY+MENGGUNAKAN+ALGORITMA+DEEP+LEARNING+RNN-LSTM&rft.inst=UIN+SUNAN+KALIJAGA+YOGYAKARTA&rft.tpages=86