Tutorials

From CLAIRlib

Contents 1 Getting Started Tutorials 2 Modeling Textual Properities 3 Synthetic Collections 4 Networks 5 Learning & Classification 6 Information Retrieval Tutorials 7 Graph Partitioning Tutorials 8 Text Summarization Tutorials 9 Bioinformatics 10 Misc

Getting Started Tutorials

• Quick Start
• Utilities Tutorial

Modeling Textual Properities

• Cosine Similarities and Lexrank Distribution Tutorial
• Extract N-Grams From a Batch of Files
• Generate Cosine Similarity Statistics for a List of Sentences

Synthetic Collections

• Generate a Collection of Synthetic Documents
• Create a Linked Corpus Out of a Pre-generated Synthetic Collection
• Generate a random document from bigrams using Random Walk

Networks

• Generate Network from WordNet Semantic Lexicon
• Generate Random Synthetic Network
• Random Walk on Graphs
• Generate a URL-Based Network out of a Hyperlinked Dataset
• Create a Lexical Network from a Corpus

Learning & Classification

• Text Classification Tutorial
• Perceptron Learning and Classification
• Classification using harmonic functions

Information Retrieval Tutorials

• Simple Information Retrieval System

Graph Partitioning Tutorials

• Spectral Partitioning Using Fiedler Vector
• Graph Partitioning Using Krenighan-Lin Algorithm
• Graph Partitioning Using GirvanNewman Algorithm
• Graph Partitioning Using Balanced Mincut
• Finding Communities in a Network
• Calculating the Modularity of Partitioning a Network

Text Summarization Tutorials

• Single Document Summarization
• Multi-Document Summarization
• Using Mead as a summarizer with Clairlib

Bioinformatics

• Gene Interaction Extraction

Misc

• Automatic Link Extractor Tutorial
• ACL Anthology Network Tutorial