Results 81 to 90 of about 1,836 (199)
A Rule-Based Approach to Embedding Techniques for Text Document Classification
Applied Sciences, 2020 With the growth of online information and sudden expansion in the number of electronic documents provided on websites and in electronic libraries, there is difficulty in categorizing text documents.
Asmaa M. Aubaid, Alok Mishra
doaj +1 more source
Scottish Journal of Political Economy, Volume 73, Issue 1, February 2026.ABSTRACT We use Natural Language Processing methods to analyze the part of the debates in the Bundestag, the German parliament, about the German military (Bundeswehr). Estimated local projections show that an increase in Bundeswehr‐related fiscal sentiment of the government causes an increase in actual military spending and an expansion of economic ...
Albina Latifi +3 more
wiley +1 more source
A Detection Method for Phishing Web Page Using DOM-Based Doc2Vec Model [PDF]
, 2020 Detecting phishing web pages is a challenging task. The existing detection method for phishing web page based on DOM (Document Object Model) is mainly aiming at obtaining structural characteristics but ignores the overall representation of web pages and ...
Zhang, Ying, Qiao, Yuqiang, Feng, Jian
core +1 more source
Opinion Mining From Social Media Short Texts: Does Collective Intelligence Beat Deep Learning?
Frontiers in Robotics and AI, 2019 The era of big data has, among others, three characteristics: the huge amounts of data created every day and in every form by everyday people, artificial intelligence tools to mine information from those data and effective algorithms that allow this data
Nicolas Tsapatsoulis +1 more
doaj +1 more source
Learning Continuous User Representations through Hybrid Filtering with doc2vec
CoRR, 2017 Players in the online ad ecosystem are struggling to acquire the user data required for precise targeting. Audience look-alike modeling has the potential to alleviate this issue, but models' performance strongly depends on quantity and quality of available data.
Simon Stiebellehner +2 more
openaire +2 more sources
Advanced Intelligent Systems, Volume 8, Issue 1, January 2026.This article offers a comprehensive review of topic modeling techniques, tracing their evolution from inception to recent developments. It explores methods such as latent Dirichlet allocation, latent semantic analysis, non‐negative matrix factorization, probabilistic latent semantic analysis, Top2Vec, and BERTopic, highlighting their strengths ...
Pratima Kumari +6 more
wiley +1 more source
A Study on Incident Date and Time Visualization System using Doc2vec for Digital Forensics [PDF]
デジタルフォレンジックには，ログからサイバー攻撃の痕跡を調査する作業が含まれる．ログは日時順に保存されるため，イベントIDを単語とすればイベントIDの連続を文章と考えることができる．したがって，一定期間で分割したイベントIDの並びに対してDoc2Vecを用いてベクトル化すれば，これを２次元にマッピングできる．この場合，似た文章は近いベクトルとなるため，これらは近くに描画される．分割したイベントIDの区間がセキュリティインシデントの痕跡を含む場合，通常のログとは異なるため外れた場所に出現すると考えられる ...
折田 彰 +14 more
core +1 more source
Event Log Correlation for Multi‐Step Attack Detection
SECURITY AND PRIVACY, Volume 9, Issue 1, January/February 2026.ABSTRACT Event log correlation (ELC) is central to detecting multi‐step attacks (MSAD) that unfold across heterogeneous systems and long time horizons. This review synthesises ELC families—mining/sequence, graph learning, provenance/causal correlation, and hybrid LLM‐assisted approaches—through an MSAD‐first lens that ties methods to attack stages and ...
Syed Usman Shaukat +2 more
wiley +1 more source
A Hybrid Transformer–CNN Framework for Semantic Behavioral Modeling in Office Malware Detection
SECURITY AND PRIVACY, Volume 9, Issue 1, January/February 2026.ABSTRACT Office documents have emerged as a prevalent attack vector, with adversaries increasingly embedding executable payloads and malicious macros to evade signature‐based detection mechanisms. To address these challenges, this study presents a hybrid Transformer–CNN semantic behavioral modeling framework for Office malware detection.
Sheikh M. Zeeshan Javed +4 more
wiley +1 more source