text_analysis 0.0.11+build.1.e8af2efb

Text analyzer that extracts tokens from text for use in full-text search queries and indexes.

example/text_analysis_example.dart

// BSD 3-Clause License
// Copyright (c) 2022, GM Consult Pty Ltd

/// Import the text_analysis package by adding this line at the top of your
/// code file.
import 'package:text_analysis/text_analysis.dart';

/// For this example we use a few paragraphs of text that contains
/// numbers, currencies, abbreviations, hyphens and identifiers.
const exampleText = [
  'The Dow Jones rallied even as U.S. troops were put on alert amid '
      'the Ukraine crisis. Tesla stock fought back while Apple '
      'stock struggled. ',
  '[TSLA.XNGS] Tesla\'s #TeslaMotor Stock Is Getting Hammered.',
  'Among the best EV stocks to buy and watch, Tesla (TSLA.XNGS) is pulling back '
      r'from new highs after a failed breakout above a $1,201.05 double-bottom '
      'entry. ',
  'Meanwhile, Peloton reportedly finds an activist investor knocking '
      'on its door after a major stock crash fueled by strong indications of '
      'mismanagement. In a scathing new letter released Monday, activist '
      'Tesla Capital is pushing for Peloton to fire CEO, Chairman and '
      'founder John Foley and explore a sale.'
];

/// Parse the [exampleText] to a [TextSource] that enumerates a collection
/// of [Sentence] objects with their [Token]s
void main() async {
  //

  // Initialize a StringBuffer to hold the source text
  final sourceBuilder = StringBuffer();

  // Concatenate the elements of [text] using line-endings
  for (final src in exampleText) {
    sourceBuilder.writeln(src);
  }

  // convert the StringBuffer to a String
  final source = sourceBuilder.toString();

  // use a TextAnalyzer instance to tokenize the source
  final document = await TextAnalyzer().tokenize(source);

  // map the document's tokens to a list of terms (strings)
  final terms = document.tokens.map((e) => e.term).toList();

  // print the terms
  print(terms);
}