Results 221 to 230 of about 6,268 (249)
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2021
Natural language processing (NLP) is a problem which attracts lots of attention from researchers. This study analyzes and compares a different method to classify text sentences or paragraphs in Vietnamese into different categories. The work utilizes a sequence of techniques for data-preprocessing, customize learning model and methods before using Term ...
Do Viet Quan, Phan Duy Hung
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Natural language processing (NLP) is a problem which attracts lots of attention from researchers. This study analyzes and compares a different method to classify text sentences or paragraphs in Vietnamese into different categories. The work utilizes a sequence of techniques for data-preprocessing, customize learning model and methods before using Term ...
Do Viet Quan, Phan Duy Hung
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A question answer chatbot using term frequency-inverse document frequency and Markov chain
International Conference on Computer Graphics, Artificial Intelligence, and Data Processing (ICCAID 2023)Shuang Li +4 more
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Stock Market Prediction Based on Term Frequency-Inverse Document Frequency
Journal of Economics, Business and Management, 2016This paper presents a new method to predicting the change of stock prices by utilizing text mining news of the stock market. Term Frequency Inverse Document Frequency (TF- IDF) is one of the most useful and widely used concepts in information retrieval.
Mu’tasem Jarrah, Naomie Salim
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2013 International Conference on Asian Language Processing, 2013
Subjectivity classification classifies a given document if it contains subjective information or not, or identifies which portions of the document are subjective. This research reports a machine learning approach on document-level and sentence-level subjectivity classification of Filipino texts using existing machine learning algorithms such as C4.5 ...
Ralph Vincent J. Regalado +3 more
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Subjectivity classification classifies a given document if it contains subjective information or not, or identifies which portions of the document are subjective. This research reports a machine learning approach on document-level and sentence-level subjectivity classification of Filipino texts using existing machine learning algorithms such as C4.5 ...
Ralph Vincent J. Regalado +3 more
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PU text classification enhanced by term frequency–inverse document frequency‐improved weighting
Concurrency and Computation: Practice and Experience, 2013SUMMARYTerm 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
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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 +2 more
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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 +2 more
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2024 First International Conference on Software, Systems and Information Technology (SSITCON)
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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
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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
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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
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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
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Term-Frequency Inverse-Document Frequency Definition Semantic (TIDS) Based Focused Web Crawler
2012Rapidly 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
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