ModErn Text Analysis
META Enumerates Textual Applications
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▼Nmeta | The ModErn Text Analysis toolkit is a suite of natural language processing, classification, information retreival, data mining, and other applications of text processing |
▼Nanalyzers | Contains various ways to segment text and deal with preprocessed files (POS tags, parse trees, etc) |
Nfilters | Contains filters that mutate existing token streams in a filter chain |
Ntokenizers | Contains tokenizers that start off a filter chain |
Ncaching | Containers to be used for caching purposes |
▼Nclassify | Algorithms for feature selection, KNN search, and confusion matrices |
Nkernel | Kernel functions for linear classifiers |
Nloss | Loss functions for sgd |
Ncorpus | Various ways to convert corpus formats into META-readable documents |
▼Ngraph | Contains implementations of the graph data structure and algorithms that operate over them |
▼Nalgorithms | |
Ninternal | Contains helper functions used by the centrality measures |
Nindex | Indexes to create efficient representations of data |
▼Nio | Compressed file readers and writers, configuration file readers, a simple parser, and memory-mapped file support |
Nlibsvm_parser | Parser specifically for libsvm-formatted files |
Nlm | Contains implementations of statistical language models |
Nlogging | Namespace which contains all of the logging interface classes |
Nparallel | Implementation of a thread pool and a parallel for loop |
Nparser | Contains functions that relate to phrase structure trees and parsing of natural language |
Nprinting | Contains functions that print to the terminal and provide progress bars |
Nsequence | Sequence representations and labeling models/algorithms |
Nstats | Probability distributions and other statistics functions |
Ntesting | Contains unit testing functions for the META toolkit |
Ntopics | Topic modeling functionality |
Nutf | Functions for converting to and from various character sets |
Nutil | Shared resources and utilities |