Research Guides
Text mining (also known as text analytics) involves extracting meaningful information and insights from large volumes of unstructured text. This crash course will equip you with foundational concepts, common tools, and essential techniques in text mining.
By the end of this crash course, you’ll be able to:
Understand the text mining workflow
Clean, preprocess, and transform text data
Perform basic analysis such as word frequency and sentiment analysis
Employ advanced methods like topic modeling
Learn where to find tools and resources to keep your skills current
Use these modules as a foundation and keep practicing to become proficient in text mining!
You also have the opportunity to learn text mining analysis strategies through Python in Jupyter Notebooks. Navigate to this Google Drive Folder to find all of the Jupyter Notebooks that accompany each of these modules to practice your skills!
You can either use the Colab link to run the code in your browser, or download each notebook on to your own computer for practice.