The goal of text classification is to categorize pieces of text into one or more predefined categories. Text classification has many applications in the real world, for instance, categorizing news articles into topics, organizing web pages into hierarchical categories, filtering email spam, performing sentiment analysis, predicting users’ intent from their search queries, routing customer support requests and analyzing customer feedback.
In this webinar, we will demonstrate how to use the text classification template in Azure ML. We will use a twitter sentiment dataset and perform text processing, feature engineering, train a sentiment classification model and publish it as a web service.
To register click here or on the graphic below.
ML Blog Team