PDF Generator

A simple yet powerful PDF generation tool written in TypeScript.

Installation

npm install pdf-generator

Usage

const PDFGenerator = require("pdf-generator");

// Create a new PDFGenerator instance
const pdfGenerator = new PDFGenerator();

// Add content to the PDF
pdfGenerator
  .addText("Hello, this is a PDF generated using PDFGenerator!", {
    fontSize: 20,
    align: "center",
  })
  .addPage()
  .addText("This is page 2 of the PDF.", {
    y: 100,
    align: "center",
  });

// Save the PDF
pdfGenerator.save();

API

PDFGenerator(options?: PDFGeneratorOptions)

Creates a new instance of PDFGenerator with optional options.

• options.filename: Specify the filename for the generated PDF. Default is 'output.pdf'.

addText(text: string, options?: TextOptions): PDFGenerator

Adds text to the PDF document.

• text: The text content to add.
• options: Optional parameters for text formatting, such as fontSize, font, alignment, etc.

addPage(): PDFGenerator

Adds a new page to the PDF document.

save(): void

Saves the PDF document to the specified filename.

Example

Check the example directory for an example usage of the PDFGenerator.

License

This project is licensed under the MIT License - see the LICENSE file for details.

# Natural Language Processing Library

A JavaScript library for performing natural language processing (NLP) tasks such as sentiment analysis, text classification, and entity extraction.

## Installation

Install the package from npm:

```bash
npm install --save nlp-library
```

## Usage

Import the NlpLibrary class into your JavaScript code:

```javascript
const NlpLibrary = require('nlp-library');
```

Create an instance of the NlpLibrary class:

```javascript
const nlp = new NlpLibrary();
```

Analyze sentiment of a text:

```javascript
const sentimentScore = nlp.analyzeSentiment('I love JavaScript!');
console.log('Sentiment score:', sentimentScore);
```

Classify text:

```javascript
const classificationResult = nlp.classifyText('How to learn JavaScript?');
console.log('Classification result:', classificationResult);
```

Extract entities from text:

```javascript
const entities = nlp.extractEntities('JavaScript is a programming language.');
console.log('Entities:', entities);
```

## API

### `analyzeSentiment(text: string): number`

Analyzes the sentiment of the given text and returns a sentiment score.

- `text`: The text to analyze.

### `classifyText(text: string): string`

Classifies the given text and returns a classification result.

- `text`: The text to classify.

### `extractEntities(text: string): string[]`

Extracts entities from the given text and returns a list of entities.

- `text`: The text to analyze.

## License

This project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.