TPGPred: A Mixed-Feature-Driven Approach for Identifying Thermophilic Proteins Based on GradientBoosting. [PDF]
Int J Mol SciZhao C, Yan S, Li J.
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Scientific paper recommender system using deep learning and link prediction in citation network. [PDF]
HeliyonLi W.
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Deep learning-based recommendation system for metal-organic frameworks (MOFs).
Digit DiscovZhang X, Jablonka KM, Smit B.
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Latent topic-driven cyber intelligence model for tactics, techniques, and procedures (TTPs) detection using hybrid framework and Birch-inspired optimisation. [PDF]
Sci RepAlanazi MM, Wahab AWA, Idris MYI.
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LncRNA-miRNA interactions prediction based on meta-path similarity and Gaussian kernel similarity. [PDF]
J Cell Mol MedXie J +7 more
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Sentiment analysis on Twitter data with semi-supervised Doc2Vec [PDF]
2017 International Conference on Computer Science and Engineering (UBMK), 2017 Twitter is one of the most popular microblog sites developed in recent years. Feelings are analysed on the messages shared on Twitter so that users ideas on the products and companies can be determined. Sentiment analysis helps companies to improve their products and services based on the feedback obtained from the users through Twitter. In this study,
Izzet Senturk, Metin Bilgin
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Bangla News Recommendation Using doc2vec
2018 International Conference on Bangla Speech and Language Processing (ICBSLP), 2018We present a content-based Bangla news recommendation system using paragraph vectors also known as doc2vec. doc2vec is a neural network driven approach that encapsulates the document representation in a low dimensional vector. doc2vec can capture semantic relationship effectively between documents from a large collection of texts.
Rabindra Nath Nandi +5 more
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Classification of Turkish E-Mails with Doc2Vec
2019 1st International Informatics and Software Engineering Conference (UBMYK), 2019In this study, it was aimed to determine the Turkish e-mails which are spam by developing the application with machine learning techniques for Turkish e-mails. E-mails received from the TurkishEmail data set were used as training and test data. Numerical representation of the e-mails was obtained by using the algorithms of Doc2Vec library and then the ...
Hasan Erbay, Emre Deniz
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Hoax Identification on Tweets in Indonesia Using Doc2Vec
2021 9th International Conference on Information and Communication Technology (ICoICT), 2021In this paper, we present our work on hoax detection on a collection of Tweets. We tackle the hoax detection as a text classification problem, with Doc2Vec as the text representation method and SVM as the classifier. We collected and annotated 5000 Tweets that consist of 2500 hoax Tweets and 2500 truth Tweets.
Ade Romadhony
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Research on detection methods based on Doc2vec abnormal comments
Future Generation Computer Systems, 2018Abstract The purpose of this paper is to explore a method for detecting abnormal comments. With the growth of e-commerce sites and reviews sites, user reviews of messages begin to affect merchant’s revenue and impact consumer’s choice. It is meaningful to help users get real comment messages by using natural language processing means.
Wenbing Chang +2 more
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