A feature-based approach for sentiment quantification using machine learning
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 …
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 …
existing static or dynamic analysis techniques can meet the common user needs for …
Community formation and detection on GitHub collaboration networks
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 …
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 …
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 …
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
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 …
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 …
we analyze the spectrum of the non-backtracking matrix of a graph. We show how to obtain …