A Comparison of Machine Learning Algorithms for Multilingual Phishing Detection
With phishing emails being a major problem worldwide which is only getting larger by the
year, there needs to exist solutions to combat them as they can cause tremendous harm to …
year, there needs to exist solutions to combat them as they can cause tremendous harm to …
Deep convolutional neural network approach for classification of poems
R Deshmukh, AW Kiwelekar - International Conference on Intelligent …, 2021 - Springer
In this paper, we proposed an automatic convolutional neural network (CNN)-based method
to classify poems written in Marathi, one of the popular Indian languages. Using this …
to classify poems written in Marathi, one of the popular Indian languages. Using this …
Political Sentiment Analysis of Persian Tweets Using CNN-LSTM Model
M Dehghani, Z Yazdanparast - arXiv preprint arXiv:2307.07740, 2023 - arxiv.org
Sentiment analysis is the process of identifying and categorizing people's emotions or
opinions regarding various topics. The analysis of Twitter sentiment has become an …
opinions regarding various topics. The analysis of Twitter sentiment has become an …
Unlocking Futures: A Natural Language Driven Career Prediction System for Computer Science and Software Engineering Students
SH Faruque, SA Khushbu, S Akter - arXiv preprint arXiv:2405.18139, 2024 - arxiv.org
A career is a crucial aspect for any person to fulfill their desires through hard work. During
their studies, students cannot find the best career suggestions unless they receive …
their studies, students cannot find the best career suggestions unless they receive …
An Effective Text Classification Model Based on Ensemble Strategy
Z Hong, J Wenzhen, Y Guocai - Journal of Physics: Conference …, 2019 - iopscience.iop.org
Automatic text classification is a classic topic for natural language processing. Text
classification research mainly focuses on feature representation of text documents or …
classification research mainly focuses on feature representation of text documents or …
Deep learning based identification and interpretability research of traditional village heritage value elements: a case study in Hubei Province
G Tan, J Zhu, Z Chen - Heritage Science, 2024 - Springer
The preservation and transmission of traditional villages is crucial to the prosperity and
development of ethnic cultures. However, current traditional village surveys usually require a …
development of ethnic cultures. However, current traditional village surveys usually require a …
An overview of rumor and fake news detection approaches
People in this day and age like to keep up with the most recent news on social media since it
is economical, simple, and can be obtained in a short amount of time. However, social …
is economical, simple, and can be obtained in a short amount of time. However, social …
Punjabi news multi-classification using language generation-based optimized long short-term memory networks
V Gupta, E Gupta - Evolving Systems, 2023 - Springer
Text classification is a method that assigns a specific category to each piece of written
information. It is one of the fundamental tasks in natural language processing that has a …
information. It is one of the fundamental tasks in natural language processing that has a …
A study of Chinese Text Classification based on a new type of BERT pre-training
Y Liu, H Huang, J Gao, S Gai - 2023 5th International …, 2023 - ieeexplore.ieee.org
Chinese Text Classification (TC) is the process of mapping text to a pre-given topics
category. In recent years, it has been found that TC is mainly based on RNN and BERT, so …
category. In recent years, it has been found that TC is mainly based on RNN and BERT, so …
Classification of news spreading barriers
News media is one of the most effective mechanisms for spreading information
internationally, and many events from different areas are internationally relevant. However …
internationally, and many events from different areas are internationally relevant. However …