Results 91 to 100 of about 1,836 (199)
Detecting Phishing Emails Using GloVe Word Embeddings and Ensemble Machine Learning Model
Phishing emails represent a critical cybersecurity challenge, exploiting human vulnerability to illicitly obtain sensitive personal and financial data. This study proposes a novel content‐based filtering framework for phishing email detection, employing Global Vectors for Word Representation (GloVe) embeddings for semantic feature extraction and a ...
Sulaiman A. Maeli +2 more
wiley +1 more source
Online conversation communities have become an influential source of consumer recommendations in recent years. We propose a set of meaningful user segments which emerge from user embedding representations, based exclusively on comments’ text input.
Apostolos Skotis, Christos Livas
doaj +1 more source
Klasifikasi Sentiment Analysis pada Review Film Berbahasa Inggris dengan Menggunakan Metode Doc2Vec dan Support Vector Machine (SVM) [PDF]
Sentimen merupakan sebuah penilaian dari seseorang berupa pendapat atau komentar terhadap suatu topik atau produk tertentu. Analisis sentiment berfungsi untuk melihat pendapat dan komentar terhadap suatu masalah atau topic tertentu cenderung positif atau
WINDA CHRISTINA WIDYANINGTYAS
core
A real time approach to user interest classification using DPI
In recent years, with the rapid development of internet, telecom operators can gather more and more DPI data. How to mine and classify huge amounts of DPI data in real time is the key point.
Kang CHEN +4 more
doaj +2 more sources
Multi-Class Document Classification Based on Deep Neural Network and Word2Vec
With the increase in unstructured data, the importance of classification of text-based documents has increased. In particular, the classification of news texts and digital documentation provides easy access to the information sought.
İlkay YELMEN +3 more
doaj
Dalam dunia penelitian saat ini, menjaga kualitas karya tulis ilmiah memang masih menjadi perkara yang tidak mudah. Berbagai kendala dialami oleh para penyusun atau peneliti dari mulai persiapan judul penelitian yang matang, mencari latar belakang ...
Cahyono, Stefanus Christian
core
Engineering doc2vec for automatic classi?cation of product descriptions on O2O applications
In this paper, we develop an automatic product classi?er that can become a vital part of a natural user interface for an integrated online-to-of?ine (O2O) service platform.
Hana Lee, Young Yoon
core
Background Bibliotherapy is under-theorized and under-tested: Its purposes and implementations vary widely, and the idea that ‘reading is good for you’ is often more assumed than demonstrated.
Emily T. Troscianko +2 more
doaj +1 more source
Clustering doc2vec output for topic-dimensionality reduction: A MITRE ATT&CK calibration [PDF]
We introduce a novel approach to text classification by combining doc2vec embeddings with advanced clustering techniques to improve the analysis of specialized, high-dimensional textual data.
Monnet, Nathan +3 more
core +1 more source
Retrieval of semantically similar Philippine Supreme Court case decisions using Doc2Vec
Drafting a case decision is an intensive task for lower court judges which may be a factor in the case backlogs problem of the Philippine judiciary. The search for similar Philippine Supreme Court case decisions is a common task done manually in the ...
Ranera, Lorenz Timothy Barco +2 more
core +1 more source

