Research on Automatic Text Classification Algorithm Based on ITF-IDF and KNN

Chen, Rong; Chen, Feng; Sun, Yi

doi:10.4028/www.scientific.net/amm.713-715.1830

Cited by 2 publications

(2 citation statements)

References 5 publications

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“…In the late 1950s, Luhn H P, an expert in text mining, first proposed the concept of word frequency statistics. Chen et al [1] considered this to be an epoch-making study in the field. Subsequently, Samanthula et al [2] published the first paper on text categorization and proposed the "Bayesian hypothesis", which greatly promoted the progress of text classification related research.…”

Section: State Of the Artmentioning

confidence: 99%

Classification Method of Teaching Resources Based on Improved KNN Algorithm

Xu²,

Shen

2019

Int. J. Emerg. Technol. Learn.

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In order to effectively utilize the network teaching resources, a teaching resource classification method based on the improved KNN (K-Nearest Neighbor) algorithm was proposed. Taking the text class primary and secondary school teaching resources as the research object, combined with the domain characteristics, the KNN algorithm was improved. By measuring the sample space density, the text of the high-density area was found. Different clipping methods were proposed for both intra-class and inter-class regions. The problem of cropping in the space of multiple class boundaries was considered. Results showed that the method ensured uniform distribution of samples and reduced the time of classification. Therefore, under the Weka platform, the improved KNN algorithm is effective.

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Section: State Of the Artmentioning

confidence: 99%

Classification Method of Teaching Resources Based on Improved KNN Algorithm

Xu²,

Shen

2019

Int. J. Emerg. Technol. Learn.

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“…The CD algorithm enhances the learning effect of the RBM, which encourages more people to focus on the research and application of the RBM. The RBM has been successfully applied to classification (Alphonse et al, 2020;Chen, 2015), image transformation (Liu et al, 2015), time series prediction (Kou and He, 2016), personalized search (Bao et al, 2020) and collaborative filtering (Chen et al, 2019;Salakhutdinov et al, 2007).…”

Section: 2mentioning

confidence: 99%

Personalized news recommendation based on an improved conditional restricted Boltzmann machine

Zhong¹,

Wei

2021

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Purpose Because of the extensive user coverage of news sites and apps, greater social and commercial value can be realized if users can access their favourite news as easily as possible. However, news has a timeliness factor; there are serious cold start and data sparsity in news recommendation, and news users are more susceptible to recent topical news. Therefore, this study aims to propose a personalized news recommendation approach based on topic model and restricted Boltzmann machine (RBM). Design/methodology/approach Firstly, the model extracts the news topic information based on the LDA2vec topic model. Then, the implicit behaviour data are analysed and converted into explicit rating data according to the rules. The highest weight is assigned to recent hot news stories. Finally, the topic information and the rating data are regarded as the conditional layer and visual layer of the conditional RBM (CRBM) model, respectively, to implement news recommendations. Findings The experimental results show that using LDA2vec-based news topic as a conditional layer in the CRBM model provides a higher prediction rating and improves the effectiveness of news recommendations. Originality/value This study proposes a personalized news recommendation approach based on an improved CRBM. Topic model is applied to news topic extraction and used as the conditional layer of the CRBM. It not only alleviates the sparseness of rating data to improve the efficient in CRBM but also considers that readers are more susceptible to popular or trending news.

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Research on Automatic Text Classification Algorithm Based on ITF-IDF and KNN

Cited by 2 publications

References 5 publications

Classification Method of Teaching Resources Based on Improved KNN Algorithm

Classification Method of Teaching Resources Based on Improved KNN Algorithm

Personalized news recommendation based on an improved conditional restricted Boltzmann machine

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