Email_parser

What is Email_parser ?

Email_parser is a text analysis tool designed to parse and highlight entities within email threads. It simplifies the process of extracting meaningful information from emails, making it easier to identify key details such as names, dates, and keywords. This tool is particularly useful for quickly understanding the context of email conversations.

Features

• Entity extraction: Automatically identifies and highlights important entities like names, dates, and locations.
• Syntax highlighting: Color-codes extracted entities for better readability.
• Thread analysis: Processes entire email threads to provide a comprehensive overview.
• Support for multiple formats: Works with common email formats such as .eml and .txt.
• Customizable output: Allows users to specify which entities to focus on.
• Integration-friendly: Can be easily integrated into larger applications for automated workflows.

How to use Email_parser ?

1. Import the Email_parser library into your project or script.
2. Load the email file you want to analyze, ensuring it is in a supported format.
3. Run the parsing function to extract entities from the email thread.
4. Review the highlighted output, which will display the extracted entities in a structured format.
5. Export the results if needed, either as raw data or in a formatted report.

Frequently Asked Questions

What file formats does Email_parser support?
Email_parser supports .eml, .msg, and .txt formats. For other formats, conversion may be required before processing.

Can I customize the entities that Email_parser extracts?
Yes, users can specify custom entity types or filters to focus on particular kinds of data during parsing.

How does Email_parser handle large email threads?
Email_parser is optimized for performance and can process large email threads efficiently. It provides options to limit results or process in batches for better manageability.