sentiment_dart
Sentiment Dart is a dart module that uses the AFINN-165 wordlist to perform sentiment analysis on arbitrary blocks of text
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
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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
import 'package:sentiment_dart/sentiment_dart.dart';
main() {
void main() {
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]]}
example
import 'package:sentiment_dart/sentiment_dart.dart';
main() {
void main() {
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]]}
example
import 'package:sentiment_dart/sentiment_dart.dart';
main() {
void main() {
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: []}
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.
| language | code |
|---|---|
| English | en |
| Italian | it |
| french | fr |
| german | de |
Happy 😍 to recieve or provide contributions related to this package.
Please file feature requests and bugs at the issue tracker.
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Dependency list 3 items
^0.0.6^1.8.0^1.6.0Start with your use case, compare repository activity, and check the original project before adopting it.
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