Text Analysis and NLP for Business, Economics and Finance

2026/2027

Учебный год

ENG

Обучение ведется на английском языке

4

Кредиты

Кто читает:

Департамент экономики и анализа данных (Факультет экономики НИУ ВШЭ (Нижний Новгород))

Статус:

Курс по выбору

Когда читается:

3-й курс, 3 модуль

Course Syllabus

Abstract

This course provides an applied introduction to text analysis and Natural Language Processing for students in business, economics, and finance. It focuses on how unstructured textual information from corporate disclosures, policy documents, financial news, social media, investor comments, and business communication can be transformed into structured data for economic and financial analysis. Using Python, students will learn the basic workflow of text data collection, cleaning, preprocessing, keyword extraction, dictionary-based measurement, sentiment analysis, topic discovery, text classification, and simple machine learning applications. The course emphasizes the full research process from formulating a business or economic question to constructing text-based measures and interpreting the results. Through team collaboration and final projects, students will develop the ability to design a small text-as-data project and explain the economic meaning of their findings.