dart_sentiment

Description:

dart sentiment

Dart Sentiment #


AFINN-based sentiment analysis for dart
Dart Sentiment is a dart package that uses
the AFINN-165
wordlist
and Emoji Sentiment Ranking
to perform sentiment analysis on arbitrary
blocks of input text. Dart Sentiment provides several things:

Provide Language support for English, Italian, French and German.
Provide support for various emojis.
Based on analysis of text, provide an integer value in the range -n to +n (see details below)

Installation #
add following dependency to your pubspec.yaml

dependencies:
dart_sentiment: <latest-version>

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Example #

import 'package:dart_sentiment/dart_sentiment.dart';
void main() {

final sentiment = Sentiment();

print(sentiment.analysis("The cake she made was terrible 😐"));

print(sentiment.analysis("The cake she made was terrible 😐", emoji: true));

print(sentiment.analysis("I love cats, but I am allergic to them.",));

print(sentiment.analysis("J'adore les chats, mais j'y suis allergique.",
languageCode: LanguageCode.french));

print(sentiment.analysis("Le gâteau qu'elle a fait était horrible 😐",
emoji: true, languageCode: LanguageCode.french));

}

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Function defination #



Param
Description




String text
Input phrase to analyze


bool emoji = false
Input emoji is present in the phrase to analyze


LanguageCode languageCode = LanguageCode.english
Language to use for sentiment analysis. LanguageCode { english, italian, french, german }



How it works #
AFINN #
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. The comparative score is
simply: sum of each token / number of tokens. So for example let's take the following:
I love cats, but I am allergic to them.
That string results in the following:
{
score: 1,
comparative: 0.1111111111111111,
tokens: [
"i",
"love",
"cats",
"but",
"i",
"am",
"allergic",
"to",
"them"
],
positive: [[love, 3]],
negative: [[allergic, 2]]
}
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Returned Objects

Score: Score calculated by adding the sentiment values of recognized words.
Comparative: Comparative score of the input string.
Token: All the tokens like words or emojis found in the input string.
Words: List of words from input string that were found in AFINN list.
Positive: List of positive words in input string that were found in AFINN list.
Negative: List of negative words in input string that were found in AFINN list.



In this case, love has a value of 3, allergic has a value of -2, and the remaining tokens are
neutral with a value of 0. Because the string has 9 tokens the resulting comparative score looks
like: (3 + -2) / 9 = 0.111111111
This approach leaves you with a mid-point of 0 and the upper and lower bounds are constrained to
positive and negative 5 respectively. For example, let's imagine an incredibly "positive" string
with 200 tokens and where each token has an AFINN score of 5. Our resulting comparative score would
look like this:
(max positive score * number of tokens) / number of tokens (5 * 200) / 200 = 5
Contribute #
If you have any suggestions, improvements or issues, feel free to contribute to this project. You
can either submit a new issue or propose a pull request. Direct your pull requests into the dev
branch.
License #
Dart Sentiment is released under
the MIT License
Credit #
Dart Sentiment inspired by the Javascript
package sentiment
About me #
I am India based flutter developer