# The WordLens-Project ## The Project Setup The company you work for has recognized the potential of analyzing text data for their business. The company believes that there are multiple use cases in which text data can serve as a valuable source of business insight. However, until now, there was no expertise on how to perform analysis on unstructured data like text. This is why your company initiated the WordLens project. The goal is to build expertise in the field of text analysis and natural language processing (NLP) to leverage the many types of text data the company has access to. This includes: * Social media channels on Twitter, Facebook, and Instagram * Online news articles * A massive body of research papers that openly available * Product ratings and reviews from the company's e-commerce platform * Job applications * A database of written complaints from customers * A vast amount of internal documents in the form of Microsoft Word, PowerPoint, or PDF files * Countless e-mails from employees You are responsible for the success of the WordLens project, and it is your task to build the required expertise and to showcase the possibilities that lie in analyzing the aforementioned sources of unstructured text data. --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://wordlens.datalit.de/the-wordlens-project.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.