Cadmium is a Natural Language Processing (NLP) library for Crystal.
For full API documentation check out the docs.
For more complete and up to date information about specific parts of Cadmium, check out each relevant shard repository.
|cadmium_tokenizer||Contains several types of string tokenizers|
|cadmium_stemmer||Contains a Porter stemmer, useful to get the stems of english words|
|cadmium_ngrams||Contains methods to obtain unigram, bigrams, trigrams or ngrams from strings|
|cadmium_classifier||Contains two probabilistic classifiers used in NLP operations like language detection or POS tagging for example|
|cadmium_readability||Analyzes blocks of text and determine, using various algorithms, the readability of the text.|
|cadmium_tfidf||Calculates the Term Frequency–Inverse Document Frequency of a corpus|
|cadmium_glove||Pure Crystal implementation of Global Vectors for Word Representations|
|cadmium_pos_tagger||Tags each token of a text with its Part Of Speech category|
|cadmium_lemmatizer||Returns the lemma of each given string token|
|cadmium_summarizer||Extracts the most meaningful sentences of a text to create a summary|
|cadmium_sentiment||Evaluates the sentiment of a text|
|cadmium_distance||Provides two string distance algorithms|
|cadmium_transliterator||Provides the ability to transliterate UTF-8 strings into pure ASCII so that they can be safely displayed in URL slugs or file names.|
|cadmium_phonetics||Allows to match a string with its sound representation|
|cadmium_inflector||Allows to inflect english words (nouns, verbs and numbers)|
|cadmium_graph||EdgeWeightedDigraph represents a digraph, you can add an edge, get the number vertexes, edges, get all edges and use toString to print the Digraph.|
|cadmium_trie||A trie is a data structure for efficiently storing and retrieving strings with identical prefixes, like "meet" and "meek".|
|cadmium_wordnet||Pure crystal implementation of Stanford NLPs WordNet|
|cadmium_util||A collection of useful utilities used internally in Cadmium.|
|cadmium_language_detector||Returns the most probable language code of the analysed text.|
Your project should only include the Cadmium shard(s) you need.
However, in case you want to test out all of Cadmium in a simple way, you can install all modules of the project in a few lines.
Add this to your application's
dependencies: cadmium: github: cadmiumcr/cadmium branch: master
- Fork it ( https://github.com/cadmiumcr/cadmium/fork )
- Create your feature branch (git checkout -b my-new-feature)
- Commit your changes (git commit -am 'Add some feature')
- Push to the branch (git push origin my-new-feature)
- Create a new Pull Request