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Journal of the Association for Information Science and Technology, 2003
AbstractWe propose a novel approach to incorporate term similarity and inverse document frequency into a logical model of information retrieval. The ability of the logic to handle expressive representations along with the use of such classical notions are promising characteristics for IR systems.
David E Losada, Alvaro Barreiro
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AbstractWe propose a novel approach to incorporate term similarity and inverse document frequency into a logical model of information retrieval. The ability of the logic to handle expressive representations along with the use of such classical notions are promising characteristics for IR systems.
David E Losada, Alvaro Barreiro
exaly +3 more sources
An Improved Term Frequency-Inverse Document Frequency Method Solving Multi-Text Label Problem
2022 Global Conference on Robotics, Artificial Intelligence and Information Technology (GCRAIT), 2022Xiwei Feng
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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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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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TF-SIDF: Term frequency, sketched inverse document frequency
2011 11th International Conference on Intelligent Systems Design and Applications, 2011Exact calculation of the TF-IDF weighting function in massive streams of documents involves challenging memory space requirements. In this work, we propose TF-SIDF, a novel solution for extracting relevant words from streams of documents with a high number of terms.
Manuel Baena-García +3 more
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2024 4th International Conference of Science and Information Technology in Smart Administration (ICSINTESA)
Amalia Amalia, Mahyuddin K M Nasution
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Amalia Amalia, Mahyuddin K M Nasution
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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
openaire +1 more source