Results 211 to 220 of about 10,542,712 (237)

PU text classification enhanced by term frequency–inverse document frequency‐improved weighting

Concurrency and Computation: Practice and Experience, 2013
SUMMARYTerm frequency–inverse document frequency (TF–IDF), one of the most popular feature (also called term or word) weighting methods used to describe documents in the vector space model and the applications related to text mining and information retrieval, can effectively reflect the importance of the term in the collection of documents, in which ...
Tao Peng 0003, Lu Liu 0013, Wanli Zuo
openaire   +1 more source

Student Grade Prediction and Classification based on Term Frequency-Inverse Document Frequency with Random Forest

2024 First International Conference on Software, Systems and Information Technology (SSITCON)
exaly   +2 more sources

Using recursive ART network to construction domain ontology based on term frequency and inverse document frequency

Expert Systems with Applications, 2008
Ontology describes data about data and offers a group of glossaries with a definition that encompasses them in their entire. It not only transfers syntax of words but also accurately transfers semantic data between human users and the network.
Rung Ching Chen, Jui-Yuan Liang, Ren-Hao Pan   +2 more
openaire   +1 more source

Sentence Classification using Machine Learning with Term Frequency–Inverse Document Frequency with N-Gram

2021
Automatic text classification has proven to be a vital method for managing and processing a very large text area—the volume of digital materials that is spreading and growing on a daily basis. In general, text plays an important role in classifying, extracting, and summarizing information, searching for text, and answering questions.
Nagendra Nagaraj, Chandra J
openaire   +1 more source

Automatic Article Summary with the Term Frequency-Inverse Document Frequency Algorithm for Information on Elderly Health

Journal of Computational and Theoretical Nanoscience, 2020
Elderly is someone whose age ranges from 60–74 years. At that age, one’s health tends to decline. Various programs have been provided by the Indonesian government, such as providing information, giving brochures, and giving announcements on the health service website.
Juli Sulaksono, Risky Aswi Ramadhani, Ratih Kumalasari Niswatin   +2 more
openaire   +1 more source

Comparison of Genre based Tamil Songs Classification using term Frequency and Inverse Document Frequency

Research Journal of Pharmacy and Technology, 2017
Genre classification of Tamil songs is done based on mood, emotion etc. of the listener. The musical genre classification is based on three levels as base, mood and style. Our proposed methodology is comparison of genre based Tamil songs classification using Term Frequency and Inverse Document Frequency ( tf-idf ).
Sundara Kanchana, K. Meenakshi, Velappa Ganapathy   +2 more
openaire   +1 more source

Term-Frequency Inverse-Document Frequency Definition Semantic (TIDS) Based Focused Web Crawler

2012
Rapidly growing size of the World-Wide-Web poses unprecedented challenges for general purpose crawlers and Search Engines. It is impossible for any search engine to index the complete Web. Focused crawler cope with the growing size by selectively seeking out pages that are relevant to a predefined set of topics and avoiding irrelevant regions of the ...
Mukesh Kumar, Renu Vig
openaire   +1 more source

Predictive modeling of aircraft systems failure using term frequency-inverse document frequency and random forest

2017 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM), 2017
For modern aircraft maintenance systems, corrective maintenance is executed by maintenance technicians on ground using the real-time condition monitoring data during the flight. In this paper, a predictive model is proposed to predict faults with high priority in advance by exploring the historical data of aircraft maintenance systems, and preventive ...
Weili Yan, Jun-Hong Zhou
openaire   +1 more source

Term Frequency Inverse Document Frequency based Sentiment Analysis using Machine Learning Approaches

2023 International Conference on Data Science, Agents & Artificial Intelligence (ICDSAAI), 2023
Nagar Kiran Anil, Bobbin Preet Kaur
openaire   +1 more source

An Enhanced Hybrid Feature Selection Technique Using Term Frequency-Inverse Document Frequency and Support Vector Machine-Recursive Feature Elimination for Sentiment Classification

IEEE Access, 2021
Nur Syafiqah Mohd Nafis, Suryanti Awang
exaly