Word Wizard

Word Wizard is a web application that offers various text processing and analysis tools. It provides features such as text summarization, text-to-speech conversion, text-to-text conversion, text analysis (including word frequency analysis, sentiment analysis, part-of-speech analysis, and named entity recognition), and more.

Features

Text Analyzer

The Text Analyzer allows you to perform different types of analysis on a given text. It includes the following features:

• Word Frequency Analysis: Analyze the frequency of words and word types in the text.
• Sentiment Analysis: Determine the sentiment of the text (very positive, positive, neutral, negative, very negative).
• Part-of-Speech Analysis: Analyze the parts of speech present in the text and their respective counts.
• Named Entity Recognition (NER): Identify and categorize named entities (e.g., persons, organizations, locations) in the text.

Text Summarizer

The Text Summarizer generates a summary of a given text. You can specify the desired number of sentences in the summary. It includes:

• Automatic Summarization: Summarize the text using the TextRank method.

Text to Speech

The Text to Speech feature converts text input into speech audio. You can select the language and speed of the generated speech.

Text to Text Conversion

The Text to Text Conversion offers various transformations for the input text. These transformations include:

• Uppercase: Convert the text to uppercase.
• Lowercase: Convert the text to lowercase.
• Capitalize: Capitalize the first letter of each word.
• Trim: Remove leading and trailing whitespace.
• Clean Spaces: Replace multiple spaces with a single space.
• Hashtags: Add hashtags to each word in the text.
• Order Text: Alphabetically order the words in the text.
• Text Reverser: Reverse the order of characters in the text.
• Remove Accents: Remove diacritics and accents from characters.
• Remove Duplicate Lines: Remove duplicate lines from the text.

Usage

1. Clone the repository and install the required dependencies:

   git clone <repository-url>
   cd <project-directory>
   npm install

2. Start the application:

   npm start

3. Access the application in your web browser by navigating to http://localhost:3000.

Technologies Used

• Node.js and Express.js for the backend server.
• EJS (Embedded JavaScript) for rendering views.
• Wink-NLP library for text analysis.
• node-summarizer library for text summarization.
• gtts library for text-to-speech conversion.

License

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