DropSuit is a JavaScript(ES6) and Node.js(v14.x) module library with independent packages created by Lado Oniani that offers a diverse collection of functions for natural language processing (NLP) and data manipulation. It provides a curated collection of original and classic techniques and methods for tasks such as text analysis, language understanding and generation, as well as for data manipulation tasks. Additionally, it includes unique tools and features for chatbot dialog flow logic and other specific use cases. The library is open-source and available under the Apache License 2.0. Whether you're a researcher, developer, or data scientist, DropSuit offers a range of tools to enhance your work, with a focus on diversity and experimentation.

• clnstr: Removes marks and converts a string to lowercase.
• clnarr: Removes duplicates, empty elements, and extra punctuation marks from an array.

• qaio: Recognizes intents by analyzing nouns or all words with higher value.
• dersnt: Searches for derivative sentences and nouns.
• dnkscr: Counts the score of direct and derivative noun keys.

• strsrch: Searches for a string or substring, with the option of inverse content matching.

• enoun: Filters text to only include English nouns.

• tok: Tokenizes text.

• stem: Stems words from a string or array.

• bow: Generates a bag of words from input and data structure requests.

• decor: Formats and stylizes text strings.

• ngram: Generates N-grams from input string.

• dtstruc: Restructures input data into different data structures.
• databuild: This class provides a method for building a string prompt based on the input data.

DropSuit is an open-source library and I am dedicated to providing ongoing support and maintenance. If you have any questions, feedback, or encounter any issues while using the library, please feel free to reach out through the project's support link. Your help ensures the continued development and improvement of the library. Thank you for using DropSuit.

To show your support for the continued development and improvement of the library, you can share it with others who may find it useful, or contribute to the project by submitting bug reports, feature requests, or by providing feedback. I appreciate your support in using and sharing this library. Please consider giving it a star on GitHub to show your support, and stay informed about new updates and features by following on GitHub.