Analyzing topics and authors in chat logs for crime investigation
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Summary
A topic search model to analyze archives of chat logs for segregating crime-relevant logs from others and an extension of the Latent Dirichlet Allocation-based model to extract topics, compute the contribution of authors in these topics, and study the transitions of these topics over time is proposed.
- Type
- article
- Published
- 2013-03-08
- Cited by
- 17
- References
- 24
- OpenAlex
- https://openalex.org/W1988047293
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:17465984
Keywords
Computer science, Exploit, Latent Dirichlet allocation, Online chat, Process (computing)
References
- Continuous Time Dynamic Topic Models
- Labeled LDA: A supervised topic model for credit attribution in multi-labeled corpora
- Finding scientific topics
- Clustering the tagged web
- Modeling and predicting personal information dissemination behavior
- Analyzing collective behavior from blogs using swarm intelligence
- Empirical study of topic modeling in Twitter
- Connections between the lines: augmenting social networks with text
- Statistical topic models for multi-label document classification
- Sequential latent Dirichlet allocation
- Supervised Topic Models
- Sharing Clusters among Related Groups: Hierarchical Dirichlet Processes
- Parameter estimation for text analysis
- On-line LDA: Adaptive Topic Models for Mining Text Streams with Applications to Topic Detection and Tracking
- DiscLDA: Discriminative Learning for Dimensionality Reduction and Classification
- Group and topic discovery from relations and text
- Topics over time: a non-Markov continuous-time model of topical trends
- Time Dynamic Topic Models
- The Author-Topic Model for Authors and Documents
- Expectation-Propogation for the Generative Aspect Model
Cited by
- Cyber-physical-social-thinking space based science and technology framework for the Internet of Things
- On mining latent topics from healthcare chat logs
- Topic modelling in the information warfare domain
- Energy Efficient Group Messaging for Mobile Instant Messenger Apps
- A preliminary study of Hello Barbie in Brazil and Argentina
- A MACHINE LEARNING BASED LANGUAGE MODEL TO IDENTIFY COMPROMISED USERS
- User identification via neural network based language models
- Network analysis of coal mine hazards based on text mining and link prediction
- Assessing Trust and Veracity of Data in Social Media
- Research on Interactive Text Topic Mining Based on LDA Model -- Taking Customer Service Chat Records as an Example
- Dynamic event type recognition and tagging for data-driven insights in law-enforcement
- Ranking chat logs for crime investigation
- Large-scale analysis of grooming in modern social networks
- Topic Modeling as a Tool for Analyzing Library Chat Transcripts
- Topic modeling approaches to counter online grooming
- Querying specific message from chat logs of suspects based on keywords expansion
- Large-scale analysis of grooming in modern social networks
- A Method for Extracting Influential People for the Improvement of Contents
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