Download the dataset below to solve this Data Science case study on Topic Modelling.
Topic Modelling: Case Study
Topic modelling is a computational technique for uncovering hidden topics in a large corpus of textual data. The goal of topic modelling is to identify topics that are present in the documents and to capture the relationships between words and topics.
Here is a dataset of articles published on a blog. The articles are based on Python, Data Science, Machine Learning, and programming.
Below are all the features in the dataset:
- Article: The summary of the article.
- Title: The title of the article.
Your task is to perform topic modelling to add topic labels in the data based on the content of the article.