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Word Sequences in Automated Essay Scoring for Indonesian Language with LSA method (48-51)
Author: Randy Oktavianus Indra Budi; | Call Number: SEM-296 | Type: Indeks Artikel prosiding/Sem
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The effects of training documents, stemming, and query expansion in automated essay scoring for indonesian languange with VSM and LSA methods ( hal 290 - 295)
Author: Heninggar Septiantri, Indra Budi; | Call Number: SEM - 362 | Type: Indeks Artikel prosiding/Sem
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Automated essay grading system using SVM and LSA for essay answers in Indonesia, HAL. 124-129
Author: Rama Adhitia; Ayu Purwariani; | Call Number: SEM-294 | Type: Indeks Artikel prosiding/Sem
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Comparison of Latent Semantic Analysis and Vector Space Model for Essay Scoring System The Indonesian Document (133-137)
Author: Indra Budi Heninggar Septiantri; | Call Number: SEM-297 | Type: Indeks Artikel prosiding/Sem
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The use of maximal frequent sequences to improve document ranking in information retrieval system for indonesian language. ( hal. 87-96 )
Author: Dwi Astuti Aprijani, Zainal A. Hasibuan; | Call Number: SEM-363 | Type: Indeks Artikel prosiding/Sem
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The comparation of similarity detection method on indonesian language document (hal 285 - 289)
Author: Anna Kurniawati, Lily Wulandari, I Wayan Simri Wicaksana; | Call Number: SEM - 362 | Type: Indeks Artikel prosiding/Sem
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Recognizing Word Gesture in Sign System for Indonesian Language (SIBI) Setences Using DeepCNN and BiLSTM
Author: Noer Fitria Putra Setyono; Erdefi Rakun; | Call Number: Mak T Jilid 036-070 (T-1266) (Mak T-070) | Type: Makalah Tesis
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Recognizing Word Gesture in Sign System for Indonesian Language (SIBI) Sentences Using DeepCNN and BiLSTM (199-204)
Author: Noer Fitria Putra Setyono Erdefi Rakun; | Call Number: SEM-371 | Type: Indeks Artikel prosiding/Sem
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Annotated document: Scoring and ranking method. ( hal. 167-170 )
Author: Syarifah Bahiyah Rahayu, Shahrul Azman Noah; | Call Number: SEM-364 | Type: Indeks Artikel prosiding/Sem
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Finding Location Indicative Word on Indonesian Tweet
Author: Nazria Rahmi; | Call Number: TR-CSUI/ 009-2021 | Type: Technical Report
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