A review on word embedding techniques for text classification

S Selva Birunda, R Kanniga Devi - Innovative Data Communication …, 2021 - Springer
Word embeddings are fundamentally a form of word representation that links the human
understanding of knowledge meaningfully to the understanding of a machine. The …

[HTML][HTML] A social media analysis of travel preferences and attitudes, before and during Covid-19

D Hardt, FK Glückstad - Tourism Management, 2024 - Elsevier
Covid-19 created tremendous uncertainty in the tourism industry; in this study, we use social
media data to explore differences in the preferences and attitudes of tourism consumers …

A weighted word embedding based approach for extractive text summarization

R Rani, DK Lobiyal - Expert Systems with Applications, 2021 - Elsevier
Automatic text summarization (ATS) is a method to condense a long size text document into
abridging form by enveloping all the primary information and central theme. Numerous ATS …

An empirical evaluation of text representation schemes to filter the social media stream

S Modha, P Majumder, T Mandl - Journal of Experimental & …, 2022 - Taylor & Francis
Modeling text in a numerical representation is a prime task for any Natural Language
Processing downstream task such as text classification. This paper attempts to study the …

A novel methodology for Arabic news classification

M Alfonse, M Gawich - Wiley Interdisciplinary Reviews: Data …, 2022 - Wiley Online Library
The automated news classification concerns the assignment of news to one or more
predefined categories. The automated classified news helps the search engines to mine and …

Smile net: A supervised graph embedding-based machine learning approach for nextg vulnerability detection

Y Peng, J Yang, S Arya, Y Wang - MILCOM 2023-2023 IEEE …, 2023 - ieeexplore.ieee.org
5G communication systems are a key component of current and future wireless networks,
and their security has a direct impact on many critical areas, including personal …

SmishGuard: Leveraging Machine Learning and Natural Language Processing for Smishing Detection.

SRA Samad, P Ganesan… - International …, 2023 - search.ebscohost.com
SMS facilitates the transmission of concise text messages between mobile phone users,
serving a range of functions in personal and business domains such as appointment …

Privacy Preserving Document Classification using Convolution Neural Network-A Deep Learning Approach

D Patil, R Lokare, S Patil - 2022 5th International Conference …, 2022 - ieeexplore.ieee.org
Increased digitization in nearly every sector demands huge data storage requirements.
Every person upload tons of information related to themselves on Internet through some …

딥러닝기술을활용한금융거래실소유주구별에대한연구

이승언, 김현세, 김남호, 엄정윤, 우지환 - 한국데이터정보과학회지, 2021 - dbpia.co.kr
딥러닝을 활용한 자연어 처리 기술이 발전함에 따라, 금융 산업에도 문자인식, 고객 상담, 자료
검색 등 딥러닝 기반 자연어 분류 및 문장 이해 기술을 적용하는 사례들 (Cho 와 Kim …