flutter_tf_idf 0.0.1

A collection of TF IDF processing including TF-IDF, Cosine similarity, etc.

flutter_tf_idf

A Dart package for calculating TF-IDF (Term Frequency-Inverse Document Frequency) and performing text analysis tasks in Flutter applications.

Features

• Calculate TF-IDF matrix for a collection of documents
• Compute cosine similarity and distance between documents
• Retrieve top terms for a specific document
• Search documents based on a query
• Get TF-IDF scores for specific terms and documents
• Find the highest-scoring document for a given term

Getting Started

Add flutter_tf_idf to your pubspec.yaml:

dependencies:
  flutter_tf_idf: ^1.0.0

Then run: flutter pub get

Usage:

import 'package:flutter_tf_idf/flutter_tf_idf.dart';

void main() {
  var documents = [
    Document('doc1', 'This is a sample document'),
    Document('doc2', 'Another example document'),
    Document('doc3', 'A third document for demonstration'),
  ];

  var tfidf = TfIdf(documents);

  // Print TF-IDF matrix
  tfidf.printTfIdfMatrix();

  // Calculate cosine similarity between two documents
  var similarity = tfidf.calculateCosineSimilarity('doc1', 'doc2');
  print('Cosine similarity between doc1 and doc2: $similarity');

  // Get top terms for a document
  var topTerms = tfidf.getTopTerms('doc1', 3);
  print('Top 3 terms in doc1: $topTerms');

  // Search documents
  var searchResults = tfidf.searchDocuments('sample document', 2);
  print('Top 2 documents for query "sample document": $searchResults');
}

Additional information

For more information on how to use this package, please refer to the API documentation and the example provided in the example/main.dart file.

Author

This package is developed and maintained by Jahangir Jehad.

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