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Implementasi Metode Term Frequency-Inverse Document Frequency -Class Frequency Untuk Peringkasan Berita Online

, 2017
Penelitian ini bertujuan untuk meningkatkan dan mengimplementasikan Metode Term Frequency Inverse Document Frequency dengan metode Class Frequency pada peringkasan berita online.
Juhar
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Is an Apple an Orange? A Large Language Model Benchmark for Candidate Term Extraction and Subclass Decisions Against Upper Ontologies in Engineering and Materials Science

Advanced Engineering Materials, EarlyView.
Building machine‐readable vocabularies for materials science is slow, expert‐driven work. This study benchmarks 13 large language models on two of its first steps: finding candidate terms in engineering articles and deciding where they belong in a class hierarchy.
Thomas Bjarsch, Maximilian Holland, Klaus Drechsler, Johannes Schilp   +3 more
wiley   +1 more source

Algoritma Term Frequency – Inverse Document Frequency (TF-IDF) dan K-Means Clustering Untuk Menentukan Kategori Dokumen [PDF]

, 2022
The development of technology is speedy; one of the results is developing documents in research articles. Searching for documents in a repository will take a long time if they are not stored grouped by document category.
Arifin, Rizal, Tsaqila, Siti Lathifah, Widaningrum, Ida, Fatmawati, Dwiyunia, Mustikasari, Dyah   +4 more
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The PRIMA Thesaurus for Materials Science and Engineering

Advanced Engineering Materials, EarlyView.
The PRIMA Thesaurus is a structured vocabulary designed to improve how materials science data is described and shared. Developed with input from multiple experts, it enables clear documentation of research workflows, data exchange, and reuse across platforms.
Rossella Aversa, Alexey Boubnov, Dario De Angelis, Catriona Eschke, Maximilian Kabbe, Felix Kraus, Mirco Panighel, Richard Thelen, Davide Valentinis   +8 more
wiley   +1 more source

Deteksi Kemiripan Dokumen Skripsi Berdasarkan Latar Belakang Menggunakan Metode Term Frequency-Inverse Document Frequency

, 2015
Penelitian ini bertujuan untuk mendeteksi dan meningkatkan akurasi pembobotan metode Ter Frequency-Inverse Document Frequency pada dokumen skripsi berdasarkan latar belakang dengan menggunakan pengukuran Cosine Similarity.Data ini diperoleh dari hasil (1)
Nur Aeni Firman
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Microstructure Reconstruction in Battery Electrodes Using Machine Learning Based on Low‐Voltage Focused Ion Beam–Scanning Electron Microscopy Tomography Images

Advanced Engineering Materials, EarlyView.
Low‐voltage FIB‐SEM tomography combined with a image preprocessing pipeline improves phase contrast and enables reliable machine‐learning segmentation of conductive networks in lithium‐ion battery electrodes. Structural descriptors are extracted from segmented images, done semimanually and automated, and compared.
Lisa Beran, Vincent Nebel, Dominik Perius, Kshitij Kumar, Yannis Heim, Laura Bies, Tobias Kraus   +6 more
wiley   +1 more source

Comparative Study among Term Frequency-Inverse Document Frequency and Count Vectorizer towards K Nearest Neighbor and Decision Tree Classifiers for Text Dataset

Nepal Journal of Multidisciplinary Research
Background: Text classification techniques are increasingly important with the exponential growth of textual data on the internet. Term Frequency-Inverse Document Frequency (TF-IDF) and Count Vectorizer(CV) are commonly used methods for feature ...
Tula Kanta Deo, Rajesh Keshavrao Deshmukh , Gajendra Sharma   +2 more
doaj   +1 more source

Perbandingan Pembobotan Term Frequency-Inverse Document dan Term Frequency-Relevant Frequency Terhadap Fitur N-Gram pada Analisis Sentimen. [PDF]

, 2021
Analisis sentimen merupakan salah satu metode yang digunakan untuk mengekstrak sentimen dalam kalimat berdasarkan isinya. Analisis sentimen merupakan salah satu metode dalam text mining yang menggunakan proses text preprocessing yang setelahnya ...
Ramadhan, Randy
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New AI‐Assisted Approach for Expanding the Solution Space: Application to Lattice Structure Design

Advanced Engineering Materials, EarlyView.
This work introduces an innovative framework for designing structured materials by ex panding the design space through reparameterization of qualitative variables into continuous structural descriptors. Combined with machine‐learning‐based prediction and multi‐objective optimization, the approach enables the discovery of novel lattice architectures ...
G. H. Gahimbare, Y. Beideler, D. Chune, R. De Guio, T. Roland, H. Chibane   +5 more
wiley   +1 more source

Optimizing Support Vector Machine (SVM) for Sentiment Analysis of Blu by BCA Reviews with Chi-Square

Journal of Applied Informatics and Computing
One of the products resulting from the development of financial technology is the blu by BCA application. This app can be downloaded by BCA bank users via the Google Play Store and has received various user responses in the form of reviews.
Aldi Widodo, Bambang Agus Herlambang, Ramadhan Renaldy   +2 more
doaj   +1 more source