Results 1 to 10 of about 6,268 (249)
ComTech, 2016 The increasing availability of online information has triggered an intensive research in the area of automatic text summarization within the Natural Language Processing (NLP).
Hans Christian +2 more
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Document retrieval using term term frequency inverse sentence frequency weighting scheme
Indonesian Journal of Electrical Engineering and Computer Science, 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. The vector space model (VSM) a perfect model used in “information retrieval”, represents these words as a ...
Mohannad T. Mohammed +1 more
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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
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Multimedia Tools and Applications, 2023 Sentiment Analysis is a highly crucial subfield in Natural Language Processing that attempts to extract the public sentiment from the accessible user opinions. This paper proposes a hybridized neural network based sentiment analysis framework using a modified term frequency-inverse document frequency approach.
Asit Kumar Das, Das Asit Kumar
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International Journal of General Systems, 2017 In document analysis, an important task is to automatically find keywords which best describe the subject of the document. One of the most widely used techniques for keyword detection is a technique based on the term frequency-inverse document frequency (tf-idf) heuristic.
Vladik Kreinovich
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Sentiment Analysis on Twitter Data Using Term Frequency-Inverse Document Frequency
Journal of Computer and Communications, 2022 Akash Addiga, Sikha Bagui
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An Expression Recognition Algorithm Based on Term Frequency-Inverse Document Frequency and Hybrid Loss [PDF]
Jisuanji gongcheng, 2023 Facial expressions can express people's mental activities and state of mind naturally and efficiently.They profoundly affect people's communication process.In many intelligent applications, facial expression recognition is an important basis for ...
LAN Zhengjie, WANG Lie, NIE Xiong
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TFIDF-FL: Localizing Faults Using Term Frequency-Inverse Document Frequency and Deep Learning
IEICE Transactions on Information and Systems, 2019 Yan Lei, Jianjun Xu, Xiaoguang Mao
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Journal of Applied Engineering and Technological Science, 2021 In the SiPaGa application, the codefication search process is still inaccurate, so OPD often make mistakes in choosing goods codes. So we need Cosine Similarity and TF-IDF methods that can improve the accuracy of the search. Cosine Similarity is a method
Sintia Sintia +2 more
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Scientific Journal of Informatics, 2023 Purpose: In the learning process, most of the tests to assess learning achievement have been carried out by providing questions in the form of short answers or essay questions. The variety of answers given by students makes a teacher have to focus on reading them. This scoring process is difficult to guarantee quality if done manually.
Winda Yulita +5 more
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