Results 41 to 50 of about 77,994 (293)
Kluster Bag of Word Menggunakan Weka
Jurnal Edukasi dan Penelitian Informatika (JEPIN), 2015 Dalam bidang pengolahan bahasa alami dan sistem temu balik informasi, representasi sebuah data teks sangat penting untuk mendukung proses analisis data statistik di dalamnya. Data teks dengan bentuk tidak terstruktur dapat direpresentasikan secara sederhana menggunakan sekumpulan set kata yang disebut bag-of-words dan belum memiliki label atau kelas ...
Tari Mardiana, Rudy Dwi Nyoto
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The Influence of Feature Representation of Text on the Performance of Document Classification
Applied Sciences, 2019 In this paper we perform a comparative analysis of three models for a feature representation of text documents in the context of document classification.
Sanda Martinčić-Ipšić +2 more
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Semantic Enhanced Distantly Supervised Relation Extraction via Graph Attention Network
Information, 2020 Distantly Supervised relation extraction methods can automatically extract the relation between entity pairs, which are essential for the construction of a knowledge graph.
Xiaoye Ouyang, Shudong Chen, Rong Wang
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Agglomerative Clustering and Residual-VLAD Encoding for Human Action Recognition
Applied Sciences, 2020 Human action recognition has gathered significant attention in recent years due to its high demand in various application domains. In this work, we propose a novel codebook generation and hybrid encoding scheme for classification of action videos.
Ammar Mohsin Butt +5 more
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Entropy, 2021 Automatically selecting a set of representative views of a 3D virtual cultural relic is crucial for constructing wisdom museums. There is no consensus regarding the definition of a good view in computer graphics; the same is true of multiple views.
Sheng Zeng, Guohua Geng, Mingquan Zhou
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Detecting Textual Propaganda Using Machine Learning Techniques
مجلة بغداد للعلوم, 2021 Social Networking has dominated the whole world by providing a platform of information dissemination. Usually people share information without knowing its truthfulness.
Akib Mohi Ud Din Khanday +2 more
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Dimensionality Reduction of Deep Learning for Earth Observation: Smaller, Faster, Simpler
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023 As deep learning attracts earth observation (EO) community's interest, the challenge to derive explainable, actionable information creates a bottleneck in EO models' development.
Iulia Calota, Daniela Faur, Mihai Datcu
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Predicting suicide risk from online postings in Reddit : the UGent-IDLab submission to the CLPysch 2019 Shared Task A [PDF]
, 2019 This paper describes IDLab’s text classification systems submitted to Task A as part of the CLPsych 2019 shared task. The aim of this shared task was to develop automated systems that predict the degree of suicide risk of people based on their posts on ...
Bekoulis, Ioannis +6 more
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Investigating the Bag-of-Words Method for 3D Shape Retrieval
EURASIP Journal on Advances in Signal Processing, 2010 This paper investigates the capabilities of the Bag-of-Words (BWs) method in the 3D shape retrieval field. The contributions of this paper are (1) the 3D shape retrieval task is categorized from different points of view: specific versus generic, partial ...
Afzal Godil, Xiaolan Li
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Journal of Artificial Intelligence General science (JAIGS) ISSN:3006-4023This paper delves into the practical applications and effectiveness of two prominent text representation methods, the Bag-of-Words (BoW) model and Term Frequency-Inverse Document Frequency (TF-IDF), in the realm of Natural Language Processing (NLP).
Shuying Dai +6 more
semanticscholar +1 more source