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Filtering Malicious JavaScript Code with Doc2Vec on an Imbalanced Dataset
2019 14th Asia Joint Conference on Information Security (AsiaJCIS), 2019Drive-by download attacks are one of main threats on the Internet. Several detection methods are to build run-time environments that allow JavaScript code to run and track its behavior while it runs. Dynamic analysis requires too much time to examine all the web pages a client accesses.
Mamoru Mimura, Yuya Suga
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Sentiment analysis via Doc2Vec and Convolutional Neural Network hybrids
2018 IEEE Symposium Series on Computational Intelligence (SSCI), 2018In this study, we proposed two ensembled Convolutional Neural Network architectures viz. (CNNcuPSONN) and CNN-PNN, where cuPSONN is a CUDA enabled particle swarm optimization optimized neural network and PNN is the probabilistic neural network. We compared their performance with that of the standalone PNN.
Bhaskar Dhariyal +2 more
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An approach to estimating cited sentences in academic papers using Doc2vec
Proceedings of the 10th International Conference on Management of Digital EcoSystems, 2018Most academic authors refer to the literature when introducing their proposed methods and the data used in their experiments. These references can be very helpful when trying to understand a paper; however, some authors do not always state clearly the specific part of the referenced work they are referring the reader to and it can be quite ...
Shunsuke Tanabe +3 more
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Classification of Customer Demands by Using Doc2Vec Feaure Extraction Method
2019 27th Signal Processing and Communications Applications Conference (SIU), 2019Companies provide after-service communication with their customers through help desk systems they provide in call centers and websites. In companies with large networks, the amount of data collected by using these communication tools is increasing day by day.The separation of these collected requests and feedbacks to be transferred to the relevant ...
Halil Arslan +2 more
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Türkçe e-postaların Doc2Vec ile sınıflandırılması
2019Bu çalışmada Türkçe e-postalar için makine öğrenmesi teknikleri ile sınıflandırma uygulaması geliştirilerek spam olan Türkçe e-postaların tespit edilmesi hedeflenmiştir. TurkishEmail veri setinden alınan e-postalar eğitim ve test verisi olarak kullanılmıştır.
Deniz, Emre +2 more
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Multilingual Inappropriate Text Content Detection System Based on Doc2vec
2019 IEEE 8th Global Conference on Consumer Electronics (GCCE), 2019In this paper, an inappropriate multilingual text content detection method is proposed based on Neural Machine Translation - Doc2Vec (NMT-D2V) is proposed‥ NMT-D2V has three features, i.e., it extends an existing detection system (e.g. based on English) to another language using a multilingual scheme, it improves detection system transparency based on ...
Kazuki Aikawa +2 more
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Off-topic Detection Model based on Biterm-LDA and Doc2vec
Proceedings of the 2019 3rd High Performance Computing and Cluster Technologies Conference, 2019Chinese writing in primary and secondary schools occupies an extremely important position in Chinese education. With the advent of natural language processing, the automatic e ssay review system has gradually matured, which has greatly promoted the development of composition writing.
Pan Liu +3 more
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Enhancing automatic plagiarism detection: Using Doc2vec model
2022 International Conference on Advanced Aspects of Software Engineering (ICAASE), 2022Imene Setha, Hassina Aliane
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Semi-supervised Turkish Text Categorization with Word2Vec, Doc2Vec and FastText Algorithms
, 2019 In this study, the performance values of Word2Vec, Doc2Vec and FastText algorithms are compared on the text categorization problem based on a semi-supervised learning technique.
Erdinc, Hakki Yagiz, Guran, Aysun
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Sentiment Analysis on Chinese Hotel Reviews with Doc2Vec and Classifiers
2018 IEEE 3rd Advanced Information Technology, Electronic and Automation Control Conference (IAEAC), 2018Text data expands over the Internet almost every day, and extracting information effectively from these text data is hard. However these information will play an important role for consumers in making decisions. In this paper, we carry out sentiment analysis on the hotel reviews obtained from websites using Doc2vec tool and machine learning algorithms ...
Qianjun Shuai +3 more
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