Event Date: 23th March, 2026
Time: 3:00 PM - 4:00 PM
Venue: 207
Faculty Mentor:Dr. Prafulla Bafna
The third session was conducted by Dr. Prafulla Bafna on the topic “From Text to Insights: NLP Techniques in Data Science.”
The session introduced Natural Language Processing (NLP) as a powerful field that enables the transformation of large volumes of unstructured text into meaningful insights. Dr. Bafna explained how computers analyze and interpret human language using various NLP techniques, including text preprocessing, feature extraction methods such as TF-IDF and word embeddings, and machine learning models. She further discussed how these techniques facilitate tasks such as text classification, clustering, sentiment analysis, and document summarization.
The session highlighted the importance of NLP in data science and its applications in extracting valuable insights from textual data. Participants gained an understanding of how NLP techniques support data analysis and informed decision-making.
Overall, the session provided valuable insights into the role of NLP in bridging the gap between human language and data-driven intelligence.
Dr. Prafulla Bafna discussing NLP methods such as text preprocessing, TF-IDF, and word embeddings.
An engaging session on NLP techniques in data science, highlighting text analysis, feature extraction, and knowledge discovery.
