sentiment_dart 0.0.4

Sentiment Dart is a dart module that uses the AFINN-165 wordlist to perform sentiment analysis on arbitrary blocks of text

Sentiment Dart

Sentiment Dart is a dart module that uses the AFINN-165 wordlist and Emoji Sentiment Ranking to perform sentiment analysis on arbitrary blocks of input text. Sentiment Dart heavily inspired by the Javascript package sentiment

Usage

import 'package:sentiment_dart/sentiment_dart.dart';

main() {
  void main() {
  final sentiment = Sentiment();
  print(sentiment.analysis('i hate you piece of shit 💩'));

  print(sentiment.analysis('i hate you piece of shit 💩',emoji: true));
}
}

output

{score: -7, comparative: -1.1666666666666667, words: [i, hate, you, piece, of, shit], good words: [], badword: [[hate, -3], [shit, -4]]}

{score: -8, comparative: -1.1428571428571428, words: [i, hate, you, piece, of, shit, 💩], good words: [], badword: [[hate, -3], [shit, -4], [💩, -1]]}

Other language

example

import 'package:sentiment_dart/sentiment_dart.dart';

main() {
  void main() {
  final sentiment = Sentiment();

  print(sentiment.analysis('ti odio un pezzo di merda 💩',languageCode: 'it'));

  print(sentiment.analysis('ti odio un pezzo di merda 💩',emoji: true,languageCode: 'it'));

}
}

output

{score: -7, comparative: -1.1666666666666667, words: [ti, odio, un, pezzo, di, merda], good words: [], badword: [[odio, -3], [merda, -4]]}

{score: -8, comparative: -1.1428571428571428, words: [ti, odio, un, pezzo, di, merda, 💩], good words: [], badword: [[odio, -3], [merda, -4], [💩, -1]]}

Custom language

example

import 'package:sentiment_dart/sentiment_dart.dart';

main() {
  void main() {
  final sentiment = Sentiment();

  var customLang = {'i': 1, 'love': 1, 'dart': 5,'car':2};
  print(sentiment.analysis('i love dart',customLang: customLang));
}
}

output

{score: 7, comparative: 2.3333333333333335, words: [i, love, dart], good words: [[i, 1], [love, 1], [dart, 5]], badword: []}

How it works ?

AFINN is a list of words rated for valence with an integer between minus five (negative) and plus five (positive). Sentiment analysis is performed by cross-checking the string tokens (words, emojis) with the AFINN list and getting their respective scores.

source

Languages and code

language	code
English	en
Italian	it
french	fr
german	de

As soon as possible, more languages will be available.

todo

• ❌

  add more languages

• ❌

  fix small bugs

Contribution 🤓

Happy 😍 to recieve or provide contributions related to this package.

Features and bugs 🐛

Please file feature requests and bugs at the issue tracker.

Contact 📧

if you have any questions , feel free to wite us on

• Twitter