sentiment_dart

Creator: coderz1093

Last updated:

Add to Cart

Description:

sentiment dart

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() {

print(Sentiment.analysis('i hate you piece of shit 💩'));

print(Sentiment.analysis('i hate you piece of shit 💩',emoji: true));
}
}
copied to clipboard
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]]}
copied to clipboard
Other language #
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'));

}
}
copied to clipboard
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]]}
copied to clipboard
Custom language #
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));
}
}
copied to clipboard
output
{score: 7, comparative: 2.3333333333333335, words: [i, love, dart], good words: [[i, 1], [love, 1], [dart, 5]], badword: []}

copied to clipboard
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



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

Buckthorn Twitter
n4ze3m Twitter

License

For personal and professional use. You cannot resell or redistribute these repositories in their original state.

Files:

Customer Reviews

There are no reviews.