Results 21 to 30 of about 24,897 (262)
Analyse de documents avec TF-IDF
Cette leçon présente une méthode de traitement automatique des langues et de recherche d’informations nommée Term Frequency - Inverse Document Frequency (tf-idf).
Matthew J. Lavin
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Bayesian Sentiment Analytics for Emerging Trends in Unstructured Data Streams [PDF]
Today the computational study of people’s opinion expressed in free form written text is called the field of sentiment analysis and opinion mining. Various research areas such as Natural Language Processing, Data Mining, Text Mining lie in field of ...
Najam Sahar +2 more
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Vulnerability and attack information must be collected to assess the severity of vulnerabilities and prioritize countermeasures against cyberattacks quickly and accurately.
Kenta Kanakogi +8 more
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Binned Term Count: An Alternative to Term Frequency for Text Categorization
In text categorization, a well-known problem related to document length is that larger term counts in longer documents cause classification algorithms to become biased.
Farhan Shehzad +5 more
doaj +1 more source
OBJECTIVES:. To evaluate whether different approaches in note text preparation (known as preprocessing) can impact machine learning model performance in the case of mortality prediction ICU. DESIGN:.
Malini Mahendra, MD +5 more
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Domain-Flux Botnet Detection Method with Fusion of Character and Word Dual-channel [PDF]
Domain-Flux is a technique for keeping a malicious botnet in operation by constantly changing the domain name of the botnet owner's command and control(C&C) server,which can effectively evade the detection of network security devices.Aming at the ...
LI Xiaodong, SONG Yuanfeng, LI Yuqiang
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Detection and Recognition of Atomic Evasions Against Network Intrusion Detection/Prevention Systems
Network evasions can bypass network intrusion detection/prevention systems to deliver exploits, attacks, or malware to victims without being detected. This paper presents a novel method for the detection and recognition of atomic network evasions by the ...
Jia Jingping +4 more
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Algoritma Term Frequency – Inverse Document Frequency (TF-IDF) dan K-Means Clustering Untuk Menentukan Kategori Dokumen [PDF]
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 +4 more
core
Salah satu keunggulan dari sebuah lembaga/unit pelayanan adalah seberapa cepat dan akurat dalam menangani keluhan pelanggan. Keluhan yang disampaikan pelanggan umumnya memiliki kesamaan dengan keluhan-keluhan sebelumnya, sehingga solusi dari keluhan baru
Abdul Aziz +2 more
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Perbandingan Pembobotan Term Frequency-Inverse Document dan Term Frequency-Relevant Frequency Terhadap Fitur N-Gram pada Analisis Sentimen. [PDF]
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
core

