Workshop: Sentiment Analysis
Discover best-practice approaches that use modern text mining and predictive analytics techniques to gain insight into consumer opinions and forecast behaviors.
In this course, you’ll advance your knowledge of sentiment and content analysis, and opinion mining, develop a deeper understanding of how to work with unstructured text data (in particular, data retrieved from social media) and learn how traditional machine learning/predictive analytics techniques can be used for the purposes of sentiment analysis. It is recommended that you complete the Practical Predictive Analytics Workshop prior to taking this workshop. This workshop is designed for those who are curious in nature, enjoy problem solving and prefer a self-learning, exploratory approach to knowledge.
WORKSHOP COVERS:
The content in this course will combine presentations, discussion and practical exercises to cover:
LEARN TO:
Retrieve social media generated textual data from the web
Understand and effectively address common challenges in text analysis
Apply best practice approaches to textual data pre-processing and enrichment techniques including normalization, tokenization, stemming, lexicons creation and usage
Gain insight into using modern analytical techniques to derive sentiment from the data
MODULES:
Module 1: What is Sentiment Analysis?
Module 2: Text Analysis
Module 3: Data Pre-processing
Module 4: Measuring Sentiment