AI-Enabled Text Analytics: Python, Web Scraping, NLP, FinBERT and LLMs for High-Impact Publications

AI-Enabled Text Analytics

Python, Web Scraping, NLP, FinBERT and LLMs for High-Impact Publications

COGNIS GLOBAL is pleased to announce a 6-Day Online Faculty Development Programme (FDP) on AI-Enabled Text Analytics: Python, Web Scraping, NLP, FinBERT and LLMs for High-Impact Publications, scheduled from 5–10 August 2026 (7:00 PM – 9:00 PM IST). This intensive 12-hour hands-on programme is designed to equip faculty members, PhD scholars, researchers, and working professionals with practical skills to conduct cutting-edge text-as-data research for high-impact academic publications.

As unstructured data such as annual reports, earnings-call transcripts, news articles, analyst reports, IPO prospectuses, and online reviews become increasingly important in finance and management research, this programme provides participants with a complete toolkit for collecting, processing, and analysing textual data using Python, Artificial Intelligence, Natural Language Processing (NLP), FinBERT, and Large Language Models (LLMs). The programme assumes no prior coding experience, making it ideal for beginners as well as researchers looking to expand their methodological expertise.

Programme Highlights

• Duration: 12 Hours (6 Days)

• Dates: 5–10 August 2026

• Time: 7:00 PM – 9:00 PM (IST)

• Mode: Live Online, Hands-on using Google Colab

• Prerequisite: No coding or programming experience required

• Certificate: Certificate of Participation upon successful completion

• Learning Approach: Practical demonstrations, coding exercises, and publication-oriented applications.

• Technology & Marketing Partner: ServiceSetu Academics

• Certificate + Recording Access + Study Material

What You Will Learn

Participants will gain hands-on experience in:

• Learning Python through AI

• Automating research tasks using Large Language Models (LLMs)

• Web scraping for building research corpora

• Dictionary and frequency-based text analysis

• Loughran–McDonald sentiment analysis and readability measures

• Topic modelling, text embeddings, and FinBERT

• LLM-based text classification and validation

• Developing publishable text-based research ideas from real-world datasets

Why Attend?

By the end of the programme, participants will be able to:

• Build research-ready datasets from textual sources.

• Apply modern AI and NLP techniques in finance and management research.

• Develop validated text-based measures for academic studies.

• Learn publication-oriented workflows using Python and Google Colab.

• Translate advanced text analytics methods into high-quality research publications.

Resource Person

Dr. Simarjeet Singh
Assistant Professor of Finance
University of Southampton, Delhi Campus, India

Dr. Simarjeet Singh's research focuses on behavioural finance, AI behavioural science, and the application of Large Language Models in experimental and empirical research. He regularly teaches Behavioural Finance, Financial Modelling, Computational Finance, and AI-enabled research methods to doctoral scholars and faculty members.

Who Should Attend?

This programme is ideal for:

• Faculty Members

• PhD Scholars

• Researchers

• Working Professionals

particularly those working in Finance, Accounting, Economics, Marketing, Strategy, Organisational Behaviour, and Management, who wish to integrate AI-powered text analytics into their research.

Registration Fee

Early Bird (Till 15 July 2026)

Contact

📧 info@servicesetu.org
📞 +91 93479 83215

Join this unique FDP to master AI-enabled text analytics, strengthen your research methodology, and build publication-ready skills for the next generation of finance and management research.