Welcome to TextExtractor, a versatile Go package designed for extracting and manipulating text with ease and precision. Whether you're dealing with structured or unstructured text, TextExtractor offers a suite of tools to tokenize, extract, and transform text data efficiently.

• Token Extraction: Seamlessly extract tokens from text within curly braces {}. Ideal for parsing templates or structured documents.
• Regex Generation: Automatically generate regular expressions from tokens for advanced pattern matching.
• Contextual Extraction: Retrieve text segments before or after specific tokens, enabling contextual analysis.
• Value Extraction: Utilize trained models to extract values with precision, considering the surrounding context.
• Data Mapping: Effortlessly map extracted values to struct fields, streamlining data processing workflows.
• Precision Calculation: Evaluate the accuracy of extracted data with built-in precision scoring.
• Model Persistence: Save and load your token models, making your data processing repeatable and reliable.

Install TextExtractor with ease using Go's package manager:

go get github.com/devalexandre/textextractor

package main

import (
    "fmt"
    "github.com/devalexandre/textextractor"
)

func main() {
    // Initialize TextExtractor
    extractor := textextractor.NewTextExtractor()

    // Sample text with tokens
    input := "Hello, {Name}! Your appointment is on {Date}."

    // Extract and process tokens
    tokens := extractor.ExtractTokens(input)
    regexPatterns := extractor.GenerateRegex(tokens)

    fmt.Println("Extracted Tokens:", tokens)
    fmt.Println("Regex Patterns:", regexPatterns)
}

Contributions to TextExtractor are welcome! Whether it's bug reports, feature requests, or code contributions, feel free to open an issue or submit a pull request.

If you encounter any problems or have questions, please open an issue on GitHub. We're here to help!