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Stop Words Laravel Package

yooper/stop-words

Collection of stop-word lists gathered from public sources for filtering text in multiple languages. Includes one-word-per-line files and welcomes contributions and validation ideas to improve stop-word quality.

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Product Decisions This Supports

  • Enables rapid implementation of text preprocessing for search and NLP features without custom development, reducing time-to-market for user-facing search functionality.
  • Supports build vs buy decision by providing a ready-to-use solution for stop word management, avoiding the need to build and maintain language-specific dictionaries in-house.
  • Ideal for use cases requiring keyword extraction, user input normalization, or content tagging where minimal dependencies and simplicity are prioritized over advanced NLP capabilities.

When to Consider This Package

  • Adopt when your project needs basic stop word filtering in PHP/Laravel with minimal setup, and language-specific dictionaries meet current requirements. Suitable for low-complexity text processing tasks where the package’s simplicity is a strength.
  • Look elsewhere if the project requires active maintenance, frequent updates, or advanced NLP features (e.g., context-aware tokenization, machine learning integration). Also, due to the 2017 last release, evaluate security and compatibility risks before adoption; consider alternatives like more actively maintained packages or custom implementations if long-term support is critical.

How to Pitch It (Stakeholders)

  • Executives: "This lightweight package accelerates development of search and content analysis features by handling stop word removal out-of-the-box. It reduces engineering effort, lowers costs, and improves user experience through cleaner search results—without complex infrastructure."
  • Engineering: "Simple API with minimal dependencies, ready-to-use language lists, and easy Laravel integration. Quick to implement for basic text cleaning tasks, but verify compatibility with current PHP versions and assess if the 2017 release date aligns with project maintenance needs."
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