Results 11 to 20 of about 261,737 (196)
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
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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
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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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Comprehension of polarity of articles by citation sentiment analysis using TF-IDF and ML classifiers [PDF]
PeerJ Computer Science, 2022 Sentiment analysis has been researched extensively during the last few years, however, the sentiment analysis of citations in a research article is an unexplored research area. Sentiment analysis of citations can provide new applications in bibliometrics
Musarat Karim +6 more
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Jurnal Ilmiah Kursor: Menuju Solusi Teknologi Informasi, 2022 Social media is a common thing that people use. Posts or comments found on social media describe someone’s feelings and opinions so there have to be important topics that can be extracted from social media.
Satyawan Agung Nugroho +2 more
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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
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Conceptual Semantic Model for Web Document Clustering Using Term Frequency
EAI Endorsed Transactions on Energy Web, 2018 Term analysis is the key objective of most of the methods under text mining, here term analysis either refers to a word or a phrase. Determination of the documents subject is another important task to be performed by the semantic based method; this is ...
Dr. N. Krishnaraj +2 more
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Sentiment Analysis and Twitter Social Media Visualization Regarding the Omnibus Law Draft
CoreID Journal, 2023 This study will classify Twitter users' positive and negative opinions about the omnibus method using a frequency-inverse document frequency algorithm and a multi-layer perceptron method.
Fadli Emsa Zamani
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Diachronic Analysis of Word Frequency in the First Document of Chinese Party Central Committee Based on People's Daily Corpus [PDF]
Nongye tushu qingbao xuebao, 2020 [Purpose/Significance] The aim of this study is to reveal the characteristics of our times of important words in the No. 1 Central Document, the first document issued by the Central Committee of the Communist Party of China every year.
HUANG Shuiqing, Wang Dongbo
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Text Classification Using Document-Relational Graph Convolutional Networks
IEEE Access, 2022 Graph Convolutional Networks (GCNs) have received considerable attention in the field of artificial machine intelligence (AMI) and natural language processing research because they can build more sophisticated accompanying graph structures than ...
Chongyi Liu, Xiangyu Wang, Honglei Xu
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