# Introduction Hi everyone, This is my note on the Nature Language Processing skills. Because of my own research interest in Finance, most of the methods that I will use in the NLP field are about sentiment analysis or similar category methods for the text data. So, the data preprocessing skills and sentiment analysis methods are going to be the main topic of this note. The data I use in my examples are data from open sources such as Kaggle. And some Chinese Text data from the CSMAR database. And for the deep learning models, I will build them using PyTorch. The contents are based on my learning experience at the University of Michigan, course EECS 595 and some of my research experience later on. Thanks a lot for the excellent teaching from Professor Joyce Chai. Best, Yiyang Zhang --- # 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://personal-94.gitbook.io/note-for-nlp-skills/introduction.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.