attstjs

attstjs (short for Advanced Text Transformation and Statistical JavaScript) is a high‑performance, open‑source library that provides a suite of algorithms for natural language processing and text analytics, developed primarily in JavaScript. It offers modular components for tokenization, stemming, sentiment analysis, and frequency‑based statistics, all designed to run efficiently in both browser and Node.js environments.

The library was first released in early 2024 by a team of researchers from the Institute for Computational Linguistics at the University of Gothenburg. Inspired by the need for lightweight, client‑side text analysis tools, the developers released the initial version under the MIT license. Subsequent updates added support for multi‑lingual corpora (including English, Spanish, Chinese, and Arabic) and incorporated machine‑learning models for named entity recognition and part‑of‑speech tagging.

attstjs is often used in educational tools that demonstrate real‑time text mining, as well as in web applications that require on‑device sentiment analysis or topic extraction without server round‑trips. Its API is intentionally simple: developers import the relevant modules and chain transformations through promise‑based functions, allowing for composability with other data‑processing pipelines.

Because attstjs relies solely on JavaScript, it integrates well with popular frameworks such as React, Vue, and Angular, and can run in mobile browsers or desktop applications built with Electron. The community has grown steadily, with contributions ranging from documentation improvements to the inclusion of additional language models. Future releases aim to add support for transformer‑based models and a plugin architecture that would permit community‑developed modules.