Feature selection methods for event detection in Twitter
A Text Mining Approach
Bibliographic Data
| ID | 4654850 |
|---|---|
| Authors | Ahmad Hany Hossny (0000-0002-5178-9211, The University of Adelaide, corresponding author), Lewis Mitchell (0000-0001-8191-1997, The University of Adelaide), Nick Lothian (ARC Centre of Excellence for Environmental Decisions), Grant Osborne (ARC Centre of Excellence for Environmental Decisions) |
| Year | 2020 |
| Volume | 10 |
| Issue | 1 |
| Publication date | 2020-12-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Social Network Analysis and Mining (JOURNAL) |
| Journal identifiers | ISSN: 1869-5450 • E-ISSN: 1869-5469 |
| Publisher | Springer Science and Business Media LLC (PUBLISHER) |
| DOI | 10.1007/s13278-020-00658-3 |
| OpenAlex | W3044776620 |
| Language | EN |
| Citations received | 3 |
| References cited | 48 |
Correlation · F1 score · Feature selection · Machine learning · Naive Bayes classifier · Natural language processing · Precision and recall · Support vector machine · Advanced Text Analysis Techniques · Complex Network Analysis Techniques · Computer Science · Mathematics · Spam and Phishing Detection · Artificial Intelligence
Pearson Correlation Coefficient
Explaining human performance in psycholinguistic tasks with models of semantic similarity based on prediction and counting
A Concordance Correlation Coefficient to Evaluate Reproducibility
Comparison of Values of Pearson's and Spearman's Correlation Coefficients on the Same Sets of Data
Earthquake shakes Twitter users
Temporal Patterns of Happiness and Information in a Global Social Network
Automatic Mapping of Social Networks of Actors from Text Corpora
Sentiment in Twitter events
From n-gram to skipgram to concgram
The Faces of Facebookers
Enhancing keyword correlation for event detection in social networks using SVD and k-means
Tracing temporal communities and event prediction in dynamic social networks
Change detection in noisy dynamic networks
| Citations per year | 0.5 |
|---|---|
| Citation span | 2020 - 2022 (3) |
| Highly cited | No |