Results 1 to 10 of about 1,562,454 (162)
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 +5 more
doaj +3 more sources
Classification of movie reviews using term frequency-inverse document frequency and optimized machine learning algorithms [PDF]
PeerJ Computer Science, 2022 The Internet Movie Database (IMDb), being one of the popular online databases for movies and personalities, provides a wide range of movie reviews from millions of users.
Muhammad Zaid Naeem +5 more
doaj +3 more sources
ChatGPT versus UpToDate in Preclinical Medical Education: Cross-Sectional Analysis Using Term Frequency–Inverse Document Frequency Cosine Similarity [PDF]
JMIR Medical EducationBackgroundGenerative artificial intelligence tools such as ChatGPT are increasingly used by medical students for self-directed learning. Although these models demonstrate linguistic fluency, their reliability as supplementary resources for preclinical ...
Shankar S Thiru +6 more
doaj +2 more sources
Short term depression unmasks the ghost frequency. [PDF]
PLoS ONE, 2012 Short Term Plasticity (STP) has been shown to exist extensively in synapses throughout the brain. Its function is more or less clear in the sense that it alters the probability of synaptic transmission at short time scales.
Tjeerd V Olde Scheper +2 more
doaj +6 more sources
Feature Selection Based on Term Frequency Reordering of Document Level
IEEE Access, 2018 In this paper, we propose a new feature selection algorithm based on term frequency reordering of document level. In our proposed algorithm, it uses the document frequency to weigh the unbalanced factors of the data sets and considers the effect of the ...
Hongfang Zhou +3 more
doaj +3 more sources
Iraqi Journal for Computers and Informatics, 2021 The increasing use of the internet has created a vast amount of digital information and it is expanding extremely fast. Therefore, Information retrieval becomes a challenging task to fetch relevant information for users.
Omar Al-rassam +2 more
doaj +1 more source
대한환경공학회지, 2021 Objectives : The purpose of this study is to analyze research trends based on text mining technology from the published papers in the Journal of Korean Society of Environmental Engineering. Methods : From 2000 to 2019, a total of 2,743 published papers
Donghyeon Lee +3 more
doaj +1 more source
A Smart Testing Model Based on Mining Semantic Relations
IEEE Access, 2023 Engaging personalization in the education process is considered one of the success factors for raising the educational process quality by altering the educational institutions’ vision for gaining more flexibility while attaining the institution ...
Alaa A. Qaffas +3 more
doaj +1 more source
Domain-Flux Botnet Detection Method with Fusion of Character and Word Dual-channel [PDF]
Jisuanji kexue, 2023 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
doaj +1 more source
Information extraction with term frequencies [PDF]
Proceedings of the first international conference on Human language technology research - HLT '01, 2001 Every day, millions of people use the internet to answer questions. Unfortunately, at present, there is no simple and successful means to consistently accomplish this goal. One common approach is to enter a few terms from a question into a Web search system and scan the resulting pages for the answer, a laborious process.
Thomas R. Lynam +2 more
openaire +2 more sources