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Analisis Perbandingan Teknik Word2vec dan Doc2vec dalam Mengukur Kemiripan Dokumen Menggunakan Cosine Similarity

open access: yesJurnal Teknologi Informasi dan Ilmu Komputer
Tempatkan Era digital memudahkan akses dokumen online dalam jumlah besar menjadi lebih mudah dan cepat, namun juga menimbulkan tantangan kompleks dalam pengelolaan dan analisis informasi.
Dede Iskandar, Ana Kurniawati
doaj   +3 more sources

Model of Lexico-Semantic Bonds between Texts for Creating Their Similarity Metrics and Developing Statistical Clustering Algorithm

open access: yesAlgorithms, 2023
To solve the problem of text clustering according to semantic groups, we suggest using a model of a unified lexico-semantic bond between texts and a similarity matrix based on it.
Liliya Demidova   +3 more
doaj   +1 more source

Neutrosophic Refined Similarity Measure Based on Cosine Function [PDF]

open access: yesNeutrosophic Sets and Systems, 2014
In this paper, the cosine similarity measure of neutrosophic refined (multi-) sets is proposed and its properties are studied. The concept of this cosine similarity measure of neutrosophic refined sets is the extension of improved cosine similarity ...
Said Broumi, Florentin Smarandache
doaj  

Research on User Similarity Calculation of Collaborative Filtering for Sparse Data [PDF]

open access: yesJisuanji kexue yu tansuo, 2022
User-based collaborative filtering achieves recommendation for target users based on the preferences of their nearest neighbors, in which how to calculate user similarity is critical.
WU Sen, DONG Yaxian, WEI Guiying, GAO Xiaonan
doaj   +1 more source

Automatic Detection of Plagiarism in Writing

open access: yesStudies in Applied Linguistics & TESOL, 2022
This paper reports on preliminary steps to create an external plagiarism detection tool. I used the PAN-PC-11 data sets and extracted tf-idf scores of text documents and cosine similarity measures between source and suspicious documents to find text ...
Mahshad Davoodifard
doaj   +3 more sources

The Similarity Measures for Linguistic q-Rung Orthopair Fuzzy Multi-Criteria Group Decision Making Using Projection Method

open access: yesIEEE Access, 2019
The linguistic q-rung orthopair fuzzy sets (Lq-ROFSs) can fully represent linguistic evaluation information by adjusting the parameter $q$ to describe the range of uncertain information.
Dan Peng   +3 more
doaj   +1 more source

Cosine similarity-based PageRank calculation

open access: yesInternational Journal of Web Science, 2011
This paper introduces a new method for calculating the rank of a web page based on the content similarity and the link structure. There are different ranking algorithms available in the literature to calculate the importance score of web pages. The basis of all ranking algorithms is the link structure of the web.
S. Poomagal, T. Hamsapriya
openaire   +1 more source

Improving Helpdesk Chatbot Performance with Term Frequency-Inverse Document Frequency (TF-IDF) and Cosine Similarity Models

open access: yesJournal of Applied Informatics and Computing, 2023
Helpdesk chatbots are growing in popularity due to their ability to provide help and answers to user questions quickly and effectively. Chatbot development poses several challenges, including enhancing accuracy in understanding user queries and providing
Gede Herdian Setiawan   +1 more
doaj   +1 more source

Cosine similarity-based adversarial process

open access: yesCoRR, 2019
An adversarial process between two deep neural networks is a promising approach to train a robust model. In this paper, we propose an adversarial process using cosine similarity, whereas conventional adversarial processes are based on inverted categorical cross entropy (CCE).
Hee-Soo Heo   +4 more
openaire   +2 more sources

The Document Vectors Using Cosine Similarity Revisited

open access: yesProceedings of the Third Workshop on Insights from Negative Results in NLP, 2022
The current state-of-the-art test accuracy (97.42\%) on the IMDB movie reviews dataset was reported by \citet{thongtan-phienthrakul-2019-sentiment} and achieved by the logistic regression classifier trained on the Document Vectors using Cosine Similarity (DV-ngrams-cosine) proposed in their paper and the Bag-of-N-grams (BON) vectors scaled by Naive ...
Bingyu Zhang, Nikolay Arefyev
openaire   +2 more sources

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