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https://github.com/cadmiumcr/cadmium

Natural Language Processing (NLP) library for Crystal
https://github.com/cadmiumcr/cadmium

crystal crystal-lang crystal-language inflector nlp phonetics readability sentiment-analysis shards stemmer string-distance tf-idf transliterator tries wordnet

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Natural Language Processing (NLP) library for Crystal

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README

        

![Logo](img/cadmium.png)

**Cadmium** is a *Natural Language Processing* (NLP) library for [Crystal](https://crystal-lang.org/).

For full API documentation check out [the docs](https://cadmiumcr.github.io/cadmium/).

For more complete and up to date information about specific parts of Cadmium, check out each relevant shard repository.

| Shard name | Description |
| ------------------------------------------------------------ | ------------------------------------------------------------ |
| [cadmium_tokenizer](https://github.com/cadmiumcr/tokenizer) | Contains several types of string tokenizers |
| [cadmium_stemmer](https://github.com/cadmiumcr/stemmer) | Contains a Porter stemmer, useful to get the stems of english words |
| [cadmium_ngrams](https://github.com/cadmiumcr/ngrams) | Contains methods to obtain unigram, bigrams, trigrams or ngrams from strings |
| [cadmium_classifier](https://github.com/cadmiumcr/classifier) | Contains two probabilistic classifiers used in NLP operations like language detection or POS tagging for example |
| [cadmium_readability](https://github.com/cadmiumcr/readability) | Analyzes blocks of text and determine, using various algorithms, the readability of the text. |
| [cadmium_tfidf](https://github.com/cadmiumcr/tfidf) | Calculates the Term Frequency–Inverse Document Frequency of a corpus |
| [cadmium_glove](https://github.com/cadmiumcr/glove) | Pure Crystal implementation of Global Vectors for Word Representations |
| [cadmium_pos_tagger](https://github.com/cadmiumcr/pos_tagger) | Tags each token of a text with its Part Of Speech category |
| [cadmium_lemmatizer](https://github.com/cadmiumcr/lemmatizer) | Returns the lemma of each given string token |
| [cadmium_summarizer](https://github.com/cadmiumcr/summarizer) | Extracts the most meaningful sentences of a text to create a summary |
| [cadmium_sentiment](https://github.com/cadmiumcr/sentiment) | Evaluates the sentiment of a text |
| [cadmium_distance](https://github.com/cadmiumcr/distance) | Provides two string distance algorithms |
| [cadmium_transliterator](https://github.com/cadmiumcr/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](https://github.com/cadmiumcr/phonetics) | Allows to match a string with its sound representation |
| [cadmium_inflector](https://github.com/cadmiumcr/inflector) | Allows to inflect english words (nouns, verbs and numbers) |
| [cadmium_graph](https://github.com/cadmiumcr/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](https://github.com/cadmiumcr/trie) | A [trie](https://en.wikipedia.org/wiki/Trie) is a data structure for efficiently storing and retrieving strings with identical prefixes, like "**mee**t" and "**mee**k". |
| [cadmium_wordnet](https://github.com/cadmiumcr/wordnet) | Pure crystal implementation of Stanford NLPs WordNet |
| [cadmium_util](https://github.com/cadmiumcr/utilities) | A collection of useful utilities used internally in Cadmium. |
| [cadmium_language_detector](https://github.com/cadmiumcr/language_detector) | Returns the most probable language code of the analysed text. |

## Installation

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 `shard.yml`:

```yaml
dependencies:
cadmium:
github: cadmiumcr/cadmium
branch: master
```

## Contributing

1. Fork it ( https://github.com/cadmiumcr/cadmium/fork )
2. Create your feature branch (git checkout -b my-new-feature)
3. Commit your changes (git commit -am 'Add some feature')
4. Push to the branch (git push origin my-new-feature)
5. Create a new Pull Request

## Contributors

This project exists thanks to all the people who contribute.