A feature-based approach for sentiment quantification using machine learning

K Ayyub, S Iqbal, M Wasif Nisar, EU Munir, FK Alarfaj… - Electronics, 2022 - mdpi.com
Sentiment analysis has been one of the most active research areas in the past decade due
to its vast applications. Sentiment quantification, a new research problem in this field …

DeMal: Module decomposition of malware based on community discovery

Y Huang, H Shu, F Kang - Computers & Security, 2022 - Elsevier
In recent years, malware has grown faster than ever in volume, form and harmfulness. While
existing static or dynamic analysis techniques can meet the common user needs for …

Community formation and detection on GitHub collaboration networks

B Moradi-Jamei, BL Kramer, JBS Calderón… - Proceedings of the …, 2021 - dl.acm.org
This paper studies community formation in OSS collaboration networks. While most current
work examines the emergence of small-scale OSS projects, our approach draws on a large …

Tailoring Benchmark Graphs to Real-World Networks for Improved Prediction of Community Detection Performance

C Schwartz, C Savkli, A Galante, W Czaja - International Conference on …, 2023 - Springer
Analysts interested in understanding the community structure of a particular real-world
network will often simply choose a popular community detection algorithm and trust the …

Analyzing semi-local link cohesion to detect communities and anomalies in complex networks

C Schwartz - 2021 - search.proquest.com
Link cohesion is a new type of metric used to assess how supported an edge is relativeto
other edges, accounting for nearby alternate paths and associated vertex degrees …

[PDF][PDF] A Feature-Based Approach for Sentiment Quantification Using Machine Learning. Electronics 2022, 11, 846

K Ayyub, S Iqbal, M Wasif Nisar, EU Munir, FK Alarfaj… - 2022 - academia.edu
Sentiment analysis has been one of the most active research areas in the past decade due
to its vast applications. Sentiment quantification, a new research problem in this field …

[图书][B] The Non-Backtracking Spectrum of a Graph and Non-Backtracking PageRank

C Glover - 2021 - search.proquest.com
This thesis studies two problems centered around non-backtracking walks on graphs. First,
we analyze the spectrum of the non-backtracking matrix of a graph. We show how to obtain …