?url_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rft.title=KLASIFIKASI+SENTIMEN+ULASAN+PENILAIAN+OBAT%0D%0ADENGAN+METODE+BIDIRECTIONAL+ENCODER+REPRESENTATIONS%0D%0A%0D%0AFROM+TRANSFORMER+(BERT)&rft.creator=Yazid+%2C+Zinedine+Hdiana%09&rft.subject=510+Matematika&rft.description=Pada+era+ini%2C+produk+kesehatan+sangat+mudah+diakses+seperti+obat-obatan+yang%0D%0Adijual+secara+bebas+melalui+apotek+dan+platform+e-commerce+telah+menyebabkan%0D%0Aindividu+yang+mungkin+memiliki+pengalaman+dalam+bidang+kesehatan+yang%0D%0Aterbatas+mengandalkan+ulasan+pengguna+untuk+memahami+jenis+obat+dalam%0D%0Amengatasi+kondisi+tertentu.+Ulasan+ini+tidak+hanya+bermanfaat+bagi+individu+tetapi%0D%0Ajuga+berkontribusi+terhadap+peningkatan+kualitas+obat+yang+diproduksi+oleh+para%0D%0Aprofesional+kesehatan.+Permasalahan+data+tidak+terstruktur+yang+ada+pada+ulasan%0D%0Adalam+bentuk+data+teks+dapat+diatasi+dengan+pendekatan+inovatif+yang+disebut%0D%0ABERT.+BERT+adalah+model+berbasis+transformer+yang+menggunakan+pre-training%0D%0Auntuk+meningkatkan+pemahaman+teks+kontekstual.+Penelitian+ini+mengevaluasi%0D%0Akinerja+BERT+dalam+analisis+sentimen+menggunakan+model+pre-training+BERT%0D%0ABASE+Uncased.+Dataset+yang+digunakan+terdiri+dari+ulasan+pengguna+terhadap%0D%0Aobat-obatan+yang+tersedia+di+platform+Kaggle.+Penelitian+ini+melibatkan+penyetelan%0D%0Ahyperparameter+untuk+mengidentifikasi+model+klasifikasi+optimal+dan%0D%0Amenggunakan+dua+metode+pelabelan+data%2C+yaitu+pelabelan+berbasis+rating+dan%0D%0Apelabelan+berbasis+textblob.+Hasil+eksperimen+menunjukkan+bahwa+model+BERT%0D%0ABASE+Uncased+mencapai+akurasi+yang+luar+biasa%2C+mencapai+puncak+98%25+dengan%0D%0Ahyperparameter+tertentu+dalam+pelabelan+data+berbasis+textblob.+Selain+itu%2C+hasil%0D%0Afine-tuning+BERT+BASE+untuk+klasifikasi+data+berbasis+rating+mencapai+akurasi%0D%0A97%25.%0D%0A%0D%0AKata+Kunci+%3A+Klasifikasi+Sentimen%2C+Deep+Learning%2C+Transformers%2C+BERT%0D%0A%0D%0AIn+this+era%2C+highly+accessible+health+products+such+as+medicines+sold+freely+through%0D%0Apharmacies+and+e-commerce+platforms+have+caused+individuals+who+may+have%0D%0Alimited+experience+in+the+health+sector+to+rely+on+user+reviews+to+understand+the%0D%0Atypes+of+drugs+to+treat+certain+conditions.+These+reviews+are+not+only+beneficial+for%0D%0Aindividuals+but+also+contribute+to+improving+the+quality+of+medicines+produced+by%0D%0Ahealthcare+professionals.+The+problem+of+unstructured+data+that+exists+in+reviews+in%0D%0Athe+form+of+text+data+can+be+overcome+with+an+innovative+approach+called+BERT.%0D%0ABERT+is+a+transformer-based+model+that+uses+pre-training+to+improve+contextual%0D%0Aunderstanding+of+text.+This+research+evaluates+BERT's+performance+in+sentiment%0D%0Aanalysis+using+the+BERT+BASE+Uncased+pre-training+model.+The+dataset+used%0D%0Aconsists+of+user+reviews+of+medicines+available+on+the+Kaggle+platform.+This%0D%0Aresearch+involves+hyperparameter+tuning+to+identify+optimal+classification+models%0D%0A%0D%0Aand+uses+two+data+labeling+methods%2C+namely+rating-based+labeling+and+textblob-%0D%0Abased+labeling.+Experimental+results+show+that+the+BERT+BASE+Uncased+model%0D%0A%0D%0Aachieves+extraordinary+accuracy%2C+reaching+a+peak+of+98%25+with+certain%0D%0A%0D%0Ahyperparameters+in+textblob-based+data+labeling.+In+addition%2C+BERT+BASE+fine-%0D%0Atuning+results+for+rating-based+data+classification+achieved+97%25+accuracy.%0D%0A%0D%0AKeywords+%3A+Sentiment+Classification%2C+Deep+Learning%2C+Transformers%2C+BERT&rft.publisher=FAKULTAS+MATEMATIKA+DAN+ILMU+PENGETAHUAN+ALAM&rft.date=2024-05-21&rft.type=Skripsi&rft.type=NonPeerReviewed&rft.format=text&rft.identifier=http%3A%2F%2Fdigilib.unila.ac.id%2F86124%2F1%2FAbstrak%2520-%2520Zinedine%2520Yazid.pdf&rft.format=text&rft.identifier=http%3A%2F%2Fdigilib.unila.ac.id%2F86124%2F2%2FSKripsi%2520Tanpa%2520Lampiran%2520-%2520Zinedine%2520Yazid.pdf&rft.format=text&rft.identifier=http%3A%2F%2Fdigilib.unila.ac.id%2F86124%2F3%2FSkripsi%2520Tanpa%2520Pembahasaan%2520-%2520Zinedine%2520Yazid.pdf&rft.identifier=++Yazid+%2C+Zinedine+Hdiana+++(2024)+KLASIFIKASI+SENTIMEN+ULASAN+PENILAIAN+OBAT+DENGAN+METODE+BIDIRECTIONAL+ENCODER+REPRESENTATIONS+FROM+TRANSFORMER+(BERT).++FAKULTAS+MATEMATIKA+DAN+ILMU+PENGETAHUAN+ALAM%2C+UNIVERSITAS+LAMPUNG.+++++&rft.relation=http%3A%2F%2Fdigilib.unila.ac.id%2F86124%2F