Mohamed Haggag

About Mohamed Haggag

Mohamed Haggag, With an exceptional h-index of 14 and a recent h-index of 12 (since 2020), a distinguished researcher at Helwan University, specializes in the field of Computaional Linquistics, Natural Language Processing, Machine Learning, Text Mining, Data Mining.

His recent articles reflect a diverse array of research interests and contributions to the field:

Comparative Study and Analysis in Text Summarization Literature

A novel chaotic equilibrium optimizer algorithm with S-shaped and V-shaped transfer functions for feature selection

A distributed intrusion detection system using machine learning for IoT based on ToN-IoT dataset

Semantic detection of targeted attacks using DOC2VEC embedding

A Depression Detection Model using Deep Learning and Textual Entailment

Parameters optimisation of support vector machine using modified grasshopper optimisation algorithm-based Lèvy-flight method

DistSNNMF: Solving Large-Scale Semantic Topic Model Problems on HPC for Streaming Texts

An enhanced sentiment analysis framework based on pre-trained word embedding

Mohamed Haggag Information

University

Position

Vice Dean for Research and Postgrad Studies Faculty of Computers & Information

Citations(all)

1166

Citations(since 2020)

953

Cited By

554

hIndex(all)

14

hIndex(since 2020)

12

i10Index(all)

17

i10Index(since 2020)

16

Email

University Profile Page

Google Scholar

Mohamed Haggag Skills & Research Interests

Computaional Linquistics

Natural Language Processing

Machine Learning

Text Mining

Data Mining

Top articles of Mohamed Haggag

Comparative Study and Analysis in Text Summarization Literature

2024/3/6

A novel chaotic equilibrium optimizer algorithm with S-shaped and V-shaped transfer functions for feature selection

Journal of Ambient Intelligence and Humanized Computing

2022/6

A distributed intrusion detection system using machine learning for IoT based on ToN-IoT dataset

International Journal of Advanced Computer Science and Applications

2022

Mohamed Haggag
Mohamed Haggag

H-Index: 9

Semantic detection of targeted attacks using DOC2VEC embedding

Journal of Communications Software and Systems

2021/12/30

A Depression Detection Model using Deep Learning and Textual Entailment

International Journal of Computer Science and Information Security (IJCSIS)

2021/12

Parameters optimisation of support vector machine using modified grasshopper optimisation algorithm-based Lèvy-flight method

International Journal of Computer Aided Engineering and Technology

2021

DistSNNMF: Solving Large-Scale Semantic Topic Model Problems on HPC for Streaming Texts

2020

An enhanced sentiment analysis framework based on pre-trained word embedding

International Journal of Computational Intelligence and Applications

2020/12/7

The novel multi-swarm coyote optimization algorithm for automatic skin lesion segmentation

Evolutionary Intelligence

2020/8

A generic lexicon-based framework for sentiment analysis

International Journal of Computers and Applications

2020/7/3

A Proposed Fuzzy Model for Diseases Diagnosis

Int J Eng Adv Tech

2020

Correction to: The novel multi‑swarm coyote optimization algorithm for automatic skin lesion segmentation

Evolutionary Intelligence

2020

Credibility Detection in Twitter Using Word N-gram Analysis and Supervised Machine Learning Techniques.

International Journal of Intelligent Engineering & Systems

2020/1/1

Novel semantic tagging detection algorithms based non-negative matrix factorization

SN Applied Sciences

2020/1/1

See List of Professors in Mohamed Haggag University(Helwan University)

Co-Authors

academic-engine