Results 11 to 20 of about 24,248 (246)

A Comparison of Search Term Weighting: Term Relevance vs. Inverse Document Frequency [PDF]

, 1981
The term relevance weighting method has been shown to produce optimal information retrieval queries under well-defined conditions. The parameters needed to generate the term relevance factors cannot unfortunately be estimated accurately in practice ...
Salton, Gerard, Wu, Harry
core   +6 more sources

Probabilistic retrieval models - relationships, context-specific application, selection and implementation [PDF]

, 2011
PhDRetrieval models are the core components of information retrieval systems, which guide the document and query representations, as well as the document ranking schemes.
Wang, Jun
core   +4 more sources

Document retrieval using term frequency inverse sentence frequency weighting scheme

, 2023
The need for an efficient method to find the furthermost appropriate document corresponding to a particular search query has become crucial due to the exponential development in the number of papers that are now readily available to us on the web.
Mohannad T. Mohammed, , Omar Fitian Rashid, Rashid, Omar Fitian, Mohammed, Mohannad T.   +3 more
core   +1 more source

Comparative Evaluation of NLP-Based Approaches for Linking CAPEC Attack Patterns from CVE Vulnerability Information

Applied Sciences, 2022
Vulnerability and attack information must be collected to assess the severity of vulnerabilities and prioritize countermeasures against cyberattacks quickly and accurately.
Kenta Kanakogi, Hironori Washizaki, Yoshiaki Fukazawa, Shinpei Ogata, Takao Okubo, Takehisa Kato, Hideyuki Kanuka, Atsuo Hazeyama, Nobukazu Yoshioka   +8 more
doaj   +1 more source

Impact of Different Approaches to Preparing Notes for Analysis With Natural Language Processing on the Performance of Prediction Models in Intensive Care

Critical Care Explorations, 2021
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, Yanting Luo, MS, Hunter Mills, MS, Gundolf Schenk, PhD, Atul J. Butte, MD, PhD, R. Adams Dudley, MD, MBA   +5 more
doaj   +1 more source

Binned Term Count: An Alternative to Term Frequency for Text Categorization

Mathematics, 2022
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, Abdur Rehman, Kashif Javed, Khalid A. Alnowibet, Haroon A. Babri, Hafiz Tayyab Rauf   +5 more
doaj   +1 more source

Sentiment Analysis for Detecting Cyberbullying Using TF-IDF and SVM

Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi), 2020
Social media has become a new method of today’s communication in a new digitalize era. Children and adults have used social media a lot in interacting with others. Therefore social media has shifted conventional communication into digital one.
Wahyu Adi Prabowo, Fitriani Azizah
doaj   +1 more source

Detection and Recognition of Atomic Evasions Against Network Intrusion Detection/Prevention Systems

IEEE Access, 2019
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, Chen Kehua, Chen Jia, Zhou Dengwen, Ma Wei   +4 more
doaj   +1 more source

Detecting Emotion in Indonesian Tweets: A Term-Weighting Scheme Study

Journal of Information Systems Engineering and Business Intelligence, 2022
Background: Term-weighting plays a key role in detecting emotion in texts. Studies in term-weighting schemes aim to improve short text classification by distinguishing terms accurately.
Kuncahyo Setyo Nugroho, Fitra A. Bachtiar, Wayan Firdaus Mahmudy   +2 more
doaj   +1 more source

Research on the Changing Trend of Employment-Relevant Terms Based on Internet Big Data Analysis [PDF]

E3S Web of Conferences, 2021
With publicly-available data collected from mainstream information platforms, this study used the term frequency inverse document frequency (TF-IDF) algorithm to detect 74 popular terms and phrases about employment, analyzed the changes in the ranking of
Wei Yang
doaj   +1 more source