Sentiment analysis

The Sentiment module uses the AFINN-165 wordlist and Emoji Sentiment Ranking to provide sentiment analysis on arbitrary blocks of text.

Installation

1. Add the dependency to your shard.yml:

   dependencies:
     sentiment:
       github: cadmiumcr/sentiment
   

2. Run shards install

Usage

require "cadmium_sentiment"

sentiment = Cadmium.sentiment

"Crystal is seriously the best programming language.".sentiment
# or
sentiment.analyze("Crystal is seriously the best programming language.")
# =>  {
        score: 3,
        comparative: 0,
        tokens: ["Crystal", "is", "seriously", "the", "best", "programming", "language"],
        words: ["best"],
        positive: ["best"],
        negative: []
      }

"I really hate Python".is_negative?
# => true

"I really 💗 Crystal. It's my favorite.".is_positive?
# => true

Contributing

1. Fork it (https://github.com/cadmiumcr/sentiment/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

• Chris Watson - creator and maintainer